SEIS SIGMA
CERTIFICAÇÃO DA GESTÃO DE EXCELÊNCIA DE QUALIDADE/ORGANIZACIONAL (CMQ/OE)
EXAME DA GESTÃO DE EXCELEÊNCIA DE QUALIDADE/ ORGANIZACIONAL (CMQ/OE)
Descrição
Leadership is fundamental in driving quality in an organization. A good leader's actions and words filter down to all organizational levels to create a quality culture. The concepts of organizational leadership are built on a foundation of core business elements. A clear understanding of these elements is key in developing an organization's strategic plan and vision. These core elements include: organizational structure and culture, roles and responsibilities of managers and leaders, change management, motivation and negotiation, and conflict and empowerment. This course explores the concepts of organizational design and leadership challenges. It is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality/Organizational Excellence certification exam.
Público alvo
Corporate directors of quality, quality managers, and executives involved with quality at the organizational or departmental level within an organization; quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 2.5
Objectivos
Leadership
• recognize key concepts of organizational design in practice
• match the organizational structures to descriptions
• recognize how culture can be exhibited in an organization
• match the five steps on Juran's road to total quality management with descriptions
• identify requirements for quality managers in leadership roles
• match leadership styles to the appropriate follower readiness levels
• recognize examples of management functions
• recognize competencies required by managers
• identify the techniques used by individuals acting as change agents
• recognize how to overcome common organizational roadblocks to change
• match theories of motivation and influence to their key concepts
• recognize methods used to resolve conflict
• identify techniques for empowering individuals and teams
Número do curso: oper_04_a01_bs_enus
Descrição
Effective development of teams improves the organization's quality and productivity. Team development encompasses team establishment, assignment of roles and responsibilities, and performance evaluation. Dynamic team goals and objectives must align with the organization's vision and mission. This course explores team building and team dynamics. It is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality/Organizational Excellence certification exam.
Público alvo
Corporate directors of quality; quality managers and executives involved with quality at the organizational or departmental level within an organization; quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 2.0
Objectivos
Team Dynamics
• recognize when to use different types of teams
• identify descriptions of the classic phases of team development
• recognize basic team-building activities
• distinguish among typical team roles in a scenario
• recognize techniques for handling group dynamics
• recognize methods used to evaluate teams
• distinguish between intrinsic and extrinsic rewards
Número do curso: oper_04_a02_bs_enus
- DEVELOPING AND DEPLOYING STRATEGIC PLANS
Descrição
Successful organizations are founded on effectively developing and deploying strategic plans. Organizations must identify their primary goals and objectives based on their mission and vision statements. Other success factors include understanding market forces, internal strengths and weaknesses, stakeholders, relevant technology, and legal and regulatory factors. With these considerations, an organization's action plan can be developed and deployed, and its effectiveness evaluated. This course explores the concepts of strategic planning models, business environmental analysis, and strategic plan deployment. It is aligned with the Quality Management Division of the American Society for Quality’s Certification Handbook, and is designed to assist learners in preparation for the ASQ Certified Manager of Quality/Organizational Excellence certification exam.
Público alvo
Corporate directors of quality, quality managers, and executives involved with quality at the organizational or departmental level within an organization; quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 2.5
Objectivos
Developing and Deploying Strategic Plans
• identify the characteristics of a traditional strategic planning approach
• recognize examples of the steps in the Hoshin planning model
• identify what scenario planning is used for
• identify descriptions of tools used to measure success against strategic goals
• recognize questions that should be asked at the various stages of SWOT analysis
• identify Porter's five forces that drive industry profitability
• identify some of the strategic implications of technology
• identify legal and regulatory factors affecting organizations
• sequence the steps in a stakeholder analysis framework
• recognize internal capability factors that should be considered in strategic planning
• recognize the elements of an effective action plan
• identify the characteristics of tactics
• recognize examples of the main activities involved in successful resource allocation
• match each method of measuring performance to a description
• match key quality concepts to examples
Número do curso: oper_04_a03_bs_enus
- MANAGERIAL SKILLS AND ABILITIES
Descrição
Quality management is an important factor in the success of today's organizations. Leading organizational thinkers have gone to the extent of saying that quality in an organization is determined by the quality of its management. In order to bring quality and excellence to an organization, managers need certain skills, tools, and abilities in all their functions. These skills and abilities relate to their understanding of management principles and theories, key organizational functions, and their mutual interrelationships. This course explores basic principles of management, management theories, styles and tools, and interdependence of functional areas in an organization. It identifies tools and techniques used by the HR, Finance, Risk, and Knowledge management functions in an organization. It is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality / Organizational Excellence certification exam.
Público alvo
Corporate directors of quality, quality managers and executives involved with quality at the organizational or departmental level within an organization; quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 2.5
Objectivos
Managerial Skills and Abilities
• match the basic principles of management to examples
• match management theories to their descriptions
• recognize the factors that influence management style
• match management styles to examples
• match tools used by managers to their descriptions
• identify the advantages and caveats of systems thinking
• recognize HR management activities used in staffing
• recognize examples of professional development and recognition techniques
• distinguish between basic types of financial statements
• match the basic types of budgets to their descriptions
• match examples to the tools and techniques used for assessing and managing risks in an organization
• match the tactics used to assess the probability and impact of loss to their examples
• match areas of knowledge management in an organization to their descriptions
• identify typical organizational barriers to implementing knowledge management techniques
Número do curso: oper_04_a04_bs_enus
- COMMUNICATION SKILLS AND PROJECT MANAGEMENT
Descrição
An essential element of management is the ability to effectively communicate with people. The capacity to successfully communicate in today's global economy is a pivotal element to the success of any organization. Managers need to be aware of emerging technologies and how these affect international communication. To meet an improvement project's specified goals and objectives, a manager must also effectively plan, estimate, and monitor the progress of the project and know what tools to apply. This course explores how communication takes place, and presents techniques and strategies for enhancing communication. It also examines how various project management tools can be used to analyze project risk, feasibility, and priority. The course is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook, and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality/Organizational Excellence certification exam.
Público alvo
Corporate directors of quality, quality managers and executives involved with quality at the organizational or departmental level within an organization; quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 2.0
Objectivos
Communication Skills and Project Management
• recognize interpersonal skills and techniques that the effective communicator may use
• identify the types of nonverbal communication that help you win the trust of others
• identify barriers to effective communication
• recognize how to overcome barriers to communication in a global environment
• recognize appropriate communication technology formats used to deliver different kinds of messages
• prioritize a project using benefit-cost analysis formulas
• identify why the work breakdown structure (WBS) is the most important element of project planning
• identify the advantages and disadvantages of using Gantt charts
• distinguish between the critical path method (CPM) and the program evaluation and review technique (PERT)
• recognize examples of critical performance measures of an ongoing project
• sequence examples of the steps involved in the management of risk
• match the major project management documents with descriptions
Número do curso: oper_04_a05_bs_enus
- QUALITY SYSTEMS, MODELS, AND THEORIES
Descrição
The implementation of an effective quality system is a vital component of the success of any organization. Personnel at all levels in an organization must be aware of the quality mission, plan, and methodology it employs. A quality mission and plan that is well developed and properly implemented must be aligned to the corporate mission and vision statements and the strategic plan in order to be effective. As an organization evolves, its quality plan must be monitored and revised in order to reflect these changes. This course explores the quality mission, plan, and methodologies and discusses the importance of effective monitoring, documentation, and implementation. It examines various quality models and theories used in corporations today. This course is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook, and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality/Organizational Excellence certification exam.
Público alvo
Corporate directors of quality, quality managers and executives involved with quality at the organizational or departmental level within an organization, as well as quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 2.0
Objectivos
Quality Systems, Models, and Theories
• sequence the succession of activities involved in developing a quality mission
• identify what a quality plan should define
• recognize examples of the roles involved in deploying a quality plan
• recognize examples of metrics supported by the balanced scorecard
• recognize examples of tools managers can use to review the effectiveness of their quality systems
• identify the MBNQA criteria categories for performance excellence
• match ISO 9000 series quality principles to examples
• identify the benefits of ISO 9001 registration and implementation
• identify the key elements required for effective TQM
• identify the characteristics of kaizen
• recognize examples of the steps involved in the benchmarking process
• identify what is emphasized in the Six Sigma methodology
• match quality theorists to their quality philosophies
Número do curso: oper_04_a06_bs_enus
PROBLEM-SOLVING AND PROCESS MANAGEMENT TOOLS
Descrição
Albert Einstein is reputed to have said, "The significant problems we face cannot be solved at the same level of thinking we were at when we created them." To solve quality and process-related problems, managers should continuously enhance their knowledge of organizational processes and quality management tools. These tools help managers find root causes of problems, an important step toward removing them. Success in ensuring quality and organizational excellence depends on how effectively managers apply these tools to solve quality and process-related problems. This course explores basic problem-solving and process management tools used for identifying, analyzing, and solving quality and process-related problems. The course is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook, and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality/Organizational Excellence certification exam.
Público alvo
Corporate directors of quality, quality managers and executives involved with quality at the organizational or departmental level within an organization; quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 2.5
Objectivos
Problem-Solving and Process Management Tools
• match various quality tools with their descriptions
• identify key concepts about basic management and planning tools
• match various process management tools with their descriptions
• identify innovation and creativity tools used for solving quality and process problems
• recognize examples of quality costs in a given scenario
• identify how process goals are established and monitored and measured
• sequence the steps in process mapping
• match process documentation tools with their descriptions
• match Lean techniques for waste reduction, quality, and process flow to descriptions
• identify the principles of Goldratt's Theory of Constraints
Número do curso: oper_04_a07_bs_enus
- MEASUREMENT: ASSESSMENT AND METRICS
Descrição
Were you ever in a situation where you started a new project and weren't sure of its effectiveness? Is your new process trending toward success or failure? These are questions that should be on the mind of every manager. An effective manager is continuously gathering, monitoring, and analyzing information as it relates to organizational performance. This course explores data analysis techniques used to detect trends of projects and processes. It describes key concepts in statistical analysis and explains how data-gathering affects the people in an organization and vice versa. It is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality / Organizational Excellence certification exam.
Público alvo
Corporate directors of quality, quality managers and executives involved with quality at the organizational or departmental level within an organization, as well as quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 1.5
Objectivos
Measurement: Assessment and Metrics
• match the three levels in the GQM measurement model to examples
• identify reasons for not using sampling to acquire data
• match the sampling types to the situations in which they should be used
• match key concepts of statistical analysis to descriptions
• match the three methods used to estimate reliability to their descriptions
• match the four main components of validity to their descriptions
• recognize situations when it is appropriate to use long-range or short-range trend analysis
• distinguish between common and special causes in variation
• identify key concepts involved in dealing with common cause and special cause variation
• recognize the capability of a process in terms of Cp and Cpk indices
• differentiate between subjective and objective measures
• recognize what's involved in analyzing and using survey results
Número do curso: oper_04_a08_bs_enus
- CUSTOMER-FOCUSED MANAGEMENT
Descrição
Sam Walton, founder of Wal-Mart, is reputed to have said, "There is only one boss – the customer. And he can fire everybody in the company – from the chairman on down – simply by spending his money somewhere else." Effective quality management processes focus on the customer. In today's global marketplace, customers have more choices than ever before. To achieve success, it is vital for enterprises to accurately identify the wants, needs, and expectations of their customers. This course explores the relationship between the treatment of internal customers and the impact on external customers. It examines techniques used to identify and segment external customers, while anticipating customer priorities, needs, and expectations. Strategies for incorporating customer service principles are also analyzed. It is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality / Organizational Excellence certification exam.
Público alvo
Corporate directors of quality, quality managers and executives involved with quality at the organizational or departmental level within an organization, as well as quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 2.0
Objectivos
Customer-Focused Management
• identify key concepts in the customer-supplier value chain
• identify a definition of quality level agreement (QLA)
• identify ways to energize internal customers
• sequence the steps in a process for working with external customers
• recognize examples of segmentation variables
• identify best practices in customer identification and segmentation
• identify the advantages and disadvantages of using surveys, interviews, and focus groups to capture the voice of the customer
• identify the steps involved in the QFD approach to capturing and translating customer requirements
• identify the characteristics of an effective complaint-handling system
• identify the steps involved in customer value analysis
• identify steps for improving customers' perceptions of quality customer service
• recognize examples of the core principles of good customer service
• identify how to manage multiple customers
• identify the ways of dealing with conflicting customer requirements and demands
Número do curso: oper_04_a09_bs_enus
Descrição
At what level are your suppliers performing? Are the relationships with your suppliers benefiting the organization? A quality-centered relationship with a supplier can play a vital role in the success of organizations, providing a competitive advantage in today's aggressive global marketplace. Without sound performance measurement and communication strategies, the relationship between you and your supplier can quickly deteriorate. This course explores many aspects of the organization-supplier relationship, including supplier selection and communication strategies. The course also examines approaches to measuring supplier performance as a basis for improvement. It also looks at the importance of certification, partnerships, and alliances as they relate to the supplier relationship. It is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality / Organizational Excellence certification exam.
Público alvo
Corporate directors of quality, quality managers and executives involved with quality at the organizational or departmental level within an organization, as well as quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 1.5
Objectivos
Supply Chain Management
• identify examples of the actions involved in selecting suppliers
• recognize examples of rating categories commonly used to assess suppliers
• identify procedures for dealing with supplier communications
• identify how to ensure supplier compliance with organizational requirements
• match common measures of supplier performance with their associated metrics
• identify common measures of supplier performance
• identify factors involved in assessing the frequency of measuring supplier performance
• identify the objectives of supplier audits
• sequence steps in the evaluation of a corrective action plan for a supplier
• sequence the steps in the supplier certification process
• recognize the key concepts involved in process reviews and performance evaluations
• sequence steps in developing customer-supplier partnerships and alliances
• recognize the key concepts of ship-to-stock and just-in-time programs
Número do curso: oper_04_a10_bs_enus
Descrição
The most valued resource of any organization is its people. In today's corporate landscape of technological advancement, employees must be trained to align with the strategic direction of the business. Managers of quality should know that improvements in workplace productivity contribute positively to the overall well-being of the organization. This course explores the importance of investing in human capital as a means of attaining strategic objectives. It delves into all aspects of corporate training, including the front-end needs analysis, and identifying effective design and development strategies. It also examines various ways to deliver training, and provides insight on how to accurately evaluate the impact training programs have on a company's bottom line. It is aligned with the Quality Management Division of the American Society for Quality's Certification Handbook and is designed to assist learners as part of their preparation for the ASQ Certified Manager of Quality/Organizational Excellence certification exam.
Público alvo
Corporate directors of quality, quality managers and executives involved with quality at the organizational or departmental level within an organization, as well as quality consultants and candidates preparing to take the ASQ exam
Duração esperada (horas): 2.0
Objectivos
Training and Development
• recognize problems that may arise in the absence of top-level management support of quality training
• identify the elements of an effective training plan
• recognize the benefits of training needs analysis
• recognize the phases and progression of a needs analysis
• match each phase in the ADDIE model with an example
• identify the characteristics of the adult learner
• identify where differences need to be accommodated in the workforce when delivering training
• recognize when to use traditional methods of delivering training
• recognize when to use technology-based, blended learning, or on-the-job methods of training
• match Kirkpatrick's four levels of evaluation to descriptions
• determine whether a training effort was a good return on investment
Número do curso: oper_04_a11_bs_enus
CERTIFICAÇÃO BLACK BELT SIGMA SEIS (SSBB)
EXAME DE CERTIFICAÇÃO BLACK BELT SEIS SIGMA
Descrição
Six Sigma is a data-driven improvement philosophy that views all activities within an organization as processes whose inputs can be controlled to effect significant improvements in process outputs. Six Sigma uses a rigorous and systematic methodology known as DMAIC (define, measure, analyze, improve, and control) and a number of qualitative and quantitative tools for driving process, product, and service improvements aimed at reducing defects and variation. Lean is also an improvement methodology, but with a different focus, aiming to enhance process flow, reduce cycle time, and eliminate waste. Though Lean and Six Sigma originated in different places and under different circumstances, they are now largely seen as complementary methodologies rather than mutually exclusive alternatives. Companies across various industries are striving to become faster and more responsive to customers, achieve near perfect quality, and operate using world-class cost structures. You need both Lean and Six Sigma to achieve these goals. This course explores the relationship between the Lean and Six Sigma approaches and their integrated application in both manufacturing and service industries. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft’s ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with the tools and concepts of Lean and Six Sigma and their origins as scoped in the ASQ – Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Lean and Six Sigma
• sequence key developments in the evolution of continuous improvement methodologies
• recognize the impact of other continuous improvement methodologies on Six Sigma and Lean
• distinguish between the Lean and Six Sigma improvement methodologies
• recognize the best approach for integrating Lean and Six Sigma initiatives, given basic organizational conditions
• match Lean tools with the Six Sigma stages they align to
• classify a business process as a core process or support process and identify what makes it so
• recognize the characteristics of the Process Enterprise approach
• recognize how Lean Six Sigma was applied to a manufacturing process in a given scenario
• recognize characteristics and quality considerations that are unique to service organizations
• categorize examples of the three key aspects of service quality
• recognize examples of service industry activities that would be good candidates for a Lean Six Sigma initiative
Número do curso: oper_11_a01_bs_enus
- SIX SIGMA PROJECTS AND THE BLACK BELT ROLE
Descrição
Six Sigma deployments demand major investments of time, effort, and money on behalf of an organization. Organizations need to exercise due diligence to determine if Six Sigma is the appropriate approach to employ, or if a less demanding quality and process improvement approach is better suited to meeting their needs. Success of these improvement projects largely depends upon the Six Sigma teams that understand the project goals. Six Sigma Black Belts lead these teams and must have the qualities and qualifications required to deliver the expected results. This course deals with the key considerations around the selection of kaizen and Six Sigma projects. It also explores Black Belt roles and the associated Black Belt qualifications needed for leading Six Sigma teams to realize their project goals. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with Six Sigma projects and Six Sigma team roles as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Six Sigma Projects and the Black Belt Role
• recognize types of problems and improvement solutions as "evolutionary" or "revolutionary" in approach
• recognize the implications of the results of a Six Sigma readiness assessment
• match each stage in a Six Sigma readiness assessment with the types of questions that would be asked
• recognize conditions under which kaizen events would be advantageous for an organization
• choose a kaizen event project based on information gathered in the project selection process
• sequence examples of the steps for selecting a kaizen event
• recognize the sources and characteristics of potential Six Sigma projects
• determine whether an organization has correctly carried out the Six Sigma project selection process
• recognize how the balanced scorecard approach can be used in aligning projects with organizational goals
• recognize project metrics that align with organizational goals as represented by the balanced scorecard
• match characteristics of successful project metrics to examples
• recognize Six Sigma stakeholders from their roles and relationships
• recognize functional characteristics of the Black Belt role
• match Black Belt roles with examples of Black Belt performance
• recognize key qualities and qualifications in a Black Belt candidate
Número do curso: oper_11_a02_bs_enus
- SIX SIGMA LEADERSHIP AND CHANGE MANAGEMENT
Descrição
The enterprise leaders in an organization play the most critical role in Six Sigma success. These leaders affect the deployment of Six Sigma in terms of providing resources, removing roadblocks, managing change, and communicating Six Sigma vision to all organizational members. Though Black Belts are not necessarily a part of the enterprise leadership, knowledge about leadership roles and perspectives helps Black Belts perform their own roles as Six Sigma leaders, and also in their regular interaction with these leaders. An organization's culture and its inherent structure, lack of resources, and top leadership support sometimes create organizational roadblocks that may result in deployment failures. Six Sigma Black Belts should be able to identify these roadblocks and deal with them effectively. Six Sigma deployment is a revolutionary strategy and may result in significant organizational changes. Black Belts need to proactively anticipate human responses, overcome them, and lead the organizational change. The course discusses the role of enterprise leadership and some of the leadership qualities and strategies for Six Sigma success. This course also explores organizational roadblocks and ways to manage them effectively. In addition, the course deals with changes caused by Six Sigma Deployment, resistance to it and strategies Black Belts can apply to manage change. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with the Six Sigma philosophy and approach as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Six Sigma Leadership and Change Management
• match Six Sigma leadership levels with examples of their roles
• recognize the performance of key enterprise leadership responsibilities in a given scenario
• distinguish between enterprise leadership roles and Six Sigma team leadership roles
• recognize the essential leadership qualities exhibited in a given scenario
• suggest strategies for more effective performance of enterprise leadership roles, in a given scenario
• recognize accurately classified organizational roadblocks in a Six Sigma initiative
• identify examples of tactical error organizational roadblocks
• recommend strategies for dealing with organizational roadblocks to Six Sigma, in a given scenario
• classify examples of organizational changes brought about by Six Sigma
• identify effective approaches for overcoming resistance in a given scenario
• identify the strategies that should be used to continue managing a change initiative in a given scenario
Número do curso: oper_11_a03_bs_enus
- CRITICAL REQUIREMENTS AND BENCHMARKING FOR SIX SIGMA
Descrição
The success of Six Sigma deployment in an organization largely depends on the success of individual Six Sigma projects. Organizational stakeholders, including customers, suppliers, and employees, have a strong influence on the implementation of Six Sigma projects. In turn, these projects impact the organizational stakeholders by throwing many opportunities and challenges before them. It is imperative that Six Sigma leaders determine the critical quality, cost, process, and delivery requirements from customers and the organization, and then align projects with these requirements. Benchmarking is used in Six Sigma projects to set measurement goals for the critical requirements against world-class and competitive reference points. Benchmarking may also be used at later stages in the projects to evaluate existing operations, compare them with best-in-class organizations, and incorporate best practices to maximize the success of improvement efforts. This course explores the Critical to x (CTx) requirements for Six Sigma projects and the importance of aligning projects with these requirements. The course also discusses the concept of benchmarking, various benchmarking types, and how benchmarking is used in Six Sigma. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with Six Sigma DMAIC methodology, project stakeholders, and the voice of the customer as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Critical Requirements and Benchmarking for Six Sigma
• recognize the impact of Six Sigma projects on different categories of stakeholders
• identify the characteristics of CTx requirements
• classify CTx requirements in a given scenario
• recognize the importance of aligning Six Sigma projects with CTx requirements
• recognize how a flowdown diagram is useful at each stage in the DMAIC process
• distinguish realities about benchmarking from misconceptions
• recognize the goals and use of key benchmarking approaches
• characterize the source and scope of a benchmarking target
• recognize how benchmarking can benefit a Six Sigma project
• match the phases of the benchmarking process with the steps performed in them
• identify recommendations for ethical conduct in benchmarking
Número do curso: oper_12_a01_bs_enus
- BUSINESS PERFORMANCE AND FINANCIAL MEASURES IN SIX SIGMA
Descrição
Six Sigma improvement begins with assessing the current performance of an organization's processes and products, and comparing it with the desired performance. An important part of this assessment is choosing a set of measures that will provide a comprehensive picture of how the company is achieving its goals of customer satisfaction, organizational learning and improvement, internal process performance, and bottom-line financial growth. This course examines business measures in two categories: business performance measures and purely financial measures, exploring how these measures reveal the current state of the business and point to gains achievable through Six Sigma. This course explores how businesses use balanced scorecard and key performance indicators (KPIs) to find their critical success factors and use them to measure progress toward organizational goals. It also explores the varied and sometimes unexpected effects of customer loyalty on business success. Turning to purely financial measures of success, this course explores how these financial measures are crucial in determining whether the potential returns of Six Sigma projects will outweigh the required investment. It provides practice in using the formulas associated with these measures, including revenue growth, market share, margin, cost-benefit analysis, return on investment (ROI), and net present value (NPV). This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft’s ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with Six Sigma projects, and with business measures including the balanced scorecard approach and the cost of poor quality (COPQ) as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Business Performance and Financial Measures in Six Sigma
• determine whether an indicator exhibits all the characteristics of a key performance indicator (KPI)
• recognize how KPIs can be used at different phases of a Six Sigma project
• recognize which quantifiable components of customer loyalty have been considered in a given scenario
• identify the importance of understanding the financial impact of customer loyalty
• calculate revenue growth, market share, and margin from a given dataset
• identify how Six Sigma can enhance revenue growth, market share, and margin for an organization
• distinguish between types of project costs and benefits |w |w
• sequence the steps in cost-benefit analysis
• calculate ROI in a given Six Sigma scenario
• use the net present value (NPV) calculation to decide whether to implement a potential Six Sigma project
• match components of the present value formula to descriptions
Número do curso: oper_12_a02_bs_enus
- FORMING PROJECT TEAMS FOR SIX SIGMA
Descrição
Forming an effective Six Sigma team for driving improvement projects throughout an organization is essential to Six Sigma success. Six Sigma teams are vital to improving an organization's existing quality to enhance bottom-line performance while reducing costs. The methods used to form and develop a Six Sigma team will have a dramatic effect on the team's overall performance. Black Belts need to proactively contribute to the effectiveness of Six Sigma teams to promote positive organizational change. This course explores the variety of team types, roles, and composition, revealing strategies for selecting strong Six Sigma teams whose members bring diverse talents, knowledge, and aptitudes to the team. The course also examines logistical considerations for launching successful teams, including communication and behavioral practices that are critical to team success. It describes how to enable teams using training, timetabling, and technology, and offers vital tips for the first team meeting and all subsequent meetings. Acknowledging that today's organizations increasingly rely on virtual teams that cross geographic and cultural barriers, the course equips you with strategies for meeting the unique challenges of virtual teams. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with the Six Sigma philosophy and approach, as well as Six Sigma team membership and performance, as scoped in the ASQ - Six Sigma Green Belt body of knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Forming Project Teams for Six Sigma
• determine the best team model for a given scenario
• match team types with statements describing their best applications
• recognize good recommendations for team selection
• recognize Belbin roles played by team members in a given scenario
• associate the nine Belbin team roles with their strengths and allowable weaknesses
• recognize which critical success factors need improvement in a team scenario
• match critical success factors with descriptions of how they are fulfilled in a team
• associate Six Sigma team members with the training they should receive in preparation for launching a team project
• identify the benefits of four team communication technologies
• identify activities that should be an established part of all team meetings
• identify appropriate suggestions for dealing with symptoms of team challenges in a given scenario
• associate examples of team problems with the virtual team challenges they symptomize
Número do curso: oper_13_a01_bs_enus
- MOTIVATION AND COMMUNICATION IN SIX SIGMA TEAMS
Descrição
Six Sigma teams must possess specific qualities to succeed throughout the development stages of their life cycles. Leaders who know how to facilitate teams will greatly enhance their chances for project success, which in turn will benefit their organizations. Motivation is one essential component that can optimize a team's focus on accomplishing its assigned goals. By making the teamwork enriching and satisfying to members, leaders can motivate a Six Sigma team with dramatic effects on overall success. Modern motivational theory informs today's motivational techniques, and this course explores both the theoretical origins and the practical application of research on motivation. Besides motivating individual team members, Black Belts need to proactively promote cohesion through all the challenging stages of a Six Sigma team's tenure. As team leaders, Six Sigma Black Belts need to recognize the stages of team development and choose targeted approaches for optimizing performance at each stage. Throughout all the stages, effective communication is vital for project success. Team communication is often overlooked, and the result can be missed deadlines, confusion, and team frustration if information is not supplied to all intended parties in a timely fashion. In any Six Sigma deployment, a communication plan will be indispensable, outlining the why, what, who, where, and how of project communication. The communication toolkit is extensive, and team leaders need to know how to use the right tool for the job. This course offers strategies for effective team facilitation and communication, exploring basic skills, strategic plans, and useful tools for communication. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft’s ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with the Six Sigma philosophy and approach, as well as concepts of team evolution, dynamics, and communication as scoped in the ASQ - Six Sigma Green Belt body of knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Motivation and Communication in Six Sigma Teams
• recognize which motivation theory is guiding a team leader's assumptions in a given scenario
• distinguish between modern motivation theories
• recognize examples of job characteristics that satisfy and enrich employees
• recognize the practical application of Vroom's Expectancy Theory
• recognize recommended approaches for empowering through management
• sequence the stages of organizational empowerment
• match team members' feelings at each stage with stage-appropriate facilitation approaches
• recognize examples of good communication practices for team facilitation
• sort communications information into sections of a communications plan
• identify the scope of key types of information in a communication plan
• choose communication tools that will meet team leaders' objectives in a given scenario
• identify the characteristics of A3 reports
Número do curso: oper_13_a02_bs_enus
- MANAGING SIX SIGMA TEAM PERFORMANCE
Descrição
Six Sigma Black Belts have the challenging task of managing the full spectrum of personal dynamics that characterize project teams. Each team member provides the team with unique strengths and weaknesses, and combining individuals into a team produces varied results. Besides providing the basic tools and structure for smooth team operation, and maintaining the integrity of the project schedule by managing limited team time, Black Belts require the skills to minimize maladaptive team behaviors and optimize positive ones. Black Belts must therefore be aware of the challenges of team dynamics and facilitate methods that resolve any conflicts that arise. Black Belts must also understand fully the many and diverse tools available for making decisions and solving problems in any Six Sigma project. A number of decision-making tools enable teams to generate and select creative improvement ideas, while a series of management and planning tools enable teams to implement and assess quality improvement throughout an organization. As team leaders with mastery over these tools, Black Belts are called upon to select the right tools to meet various team conditions and objectives. And Black Belts share yet another responsibility throughout a team's tenure: evaluating team performance and rewarding its contributions to the organization. This course explores several team management strategies for Black Belts who seek to improve the operation and performance of their Six Sigma teams, and strengthen their teams' ability to realize project goals. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with the Six Sigma philosophy and approach, as well as Six Sigma team membership and performance, as scoped in the ASQ - Six Sigma Green Belt body of knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Managing Six Sigma Team Performance
• recognize how each key responsibility of team leaders should be fulfilled
• recognize issues and conditions that are likely to spark conflict
• choose the best conflict-resolution approach and recognize the steps for resolving the conflict, in a given scenario
• suggest strategies for improved time management in a given scenario
• recognize elements to include on a meeting agenda
• match decision-making tools to team situations in which they should be used
• select management and planning tools for team use in a given scenario
• match tools for presenting data to their descriptions
• rate a team's performance in a given scenario
• distinguish between good and poor practice for rewarding and recognizing team performance
Número do curso: oper_13_a03_bs_enus
- USING VOICE OF THE CUSTOMER IN SIX SIGMA
Descrição
Customers are at the heart of all Six Sigma initiatives, and this focus on customers is what makes Six Sigma an outstanding organizational performance improvement program. The voice of the customer (VOC) is a Six Sigma strategy used to capture requirements and feedback from the customer and to meet their requirements. Voice of the customer is a critical input at every stage of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process, particularly at the Define stage. At this stage, critical customer requirements are collected, measured, and translated into actionable goals using a number of tools. Using VOC begins with defining Six Sigma goals for collecting and analyzing customer requirements. For this, the Six Sigma team must identify various customer segments – especially the ones most concerned with the project. Then the team needs to identify and select the most effective methods for collecting customer feedback and requirements. From there, customer requirements are translated into measurable, actionable project goals. This course examines how an organization uses the voice of the customer to define the problem at hand and to set the direction of its Six Sigma efforts. It introduces the tasks associated with the voice of the customer strategy and some general criteria for segmenting customers on Six Sigma projects. It also discusses some common customer data collection methods – such as surveys, interviews, and focus groups – and looks at how to ensure validity and reliability in data collection. In addition, the course illustrates how tools such as Kano analysis, critical-to-quality (CTQ) analysis, and quality function deployment (QFD) are used to translate customer data into critical customer requirements and measurable, actionable goals for the Six Sigma team. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with customer data collection methods and common voice of the customer tools (specifically, Kano, CTQ, and QFD/HOQ diagrams) as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Using Voice of the Customer in Six Sigma
• match the voice of the customer (VOC) strategy tasks to their descriptions
• identify how to perform different aspects of a customer-segmentation analysis in a given scenario
• identify examples of the three main customer-segmentation criteria
• recognize considerations associated with gathering customer data
• determine the most appropriate customer data collection method to use in a given scenario
• recognize key concepts related to the measures for ensuring validity and reliability of data collection outcomes
• recognize how various tools are used to identify and analyze customer requirements
Número do curso: oper_14_a01_bs_enus
- DEVELOPING PROJECT CHARTERS AND TRACKING SIX SIGMA PROJECTS
Descrição
A project charter is the most important document used to initiate and manage a Six Sigma project, and it is treated as an informal contract between an organization and the Six Sigma team. The project charter articulates the problem that the Six Sigma team is going to work on, and the project's scope, goals, and objectives in very clear, specific, and measurable terms. As part of the process of developing a project charter, some performance measures such as cost, revenue, and schedule are identified and developed. Once the project is kicked off, its progress is measured and tracked on a continuous basis using popular project management tools, such as schedules, Gantt charts, and tollgate reviews.This course deals with the key issues in developing project charters and tracking a Six Sigma project. It takes you through some of the key elements of a Six Sigma project charter, including the problem statement and the project's scope, goals, and objectives. It also explains project performance measures and how to review the performance of a Six Sigma project using these measures. In addition, the course introduces common tools for tracking a project's progress and deliverables. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with basic project management concepts used in Six Sigma projects as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 1.5
Objectivos
Developing Project Charters and Tracking Six Sigma Projects
• determine whether a problem statement adequately describes the problem and recommend changes for improvement if needed
• identify the best practices for determining project scope
• assess project goal statements using the SMART criteria
• identify examples of considerations related to the key performance measurement areas in a Six Sigma project
• match the steps in a Six Sigma project performance review to their related activities
• identify key concepts related to Six Sigma project tracking tools
Número do curso: oper_14_a02_bs_enus
- PROCESS CHARACTERISTICS FOR SIX SIGMA
Descrição
To improve the processes behind an organization's products and services, a Six Sigma Black Belt must measure them. But first, they must identify those processes. Among the many Six Sigma tools, several are designed specifically to isolate relevant process variables, determine their relationships to each other, prioritize their importance relative to customer or business requirements, and assess their efficiency. Using SIPOC and cause-and-effect matrices, Black Belts can determine which process inputs to target first – those with the most significant impact on important outputs. Using process efficiency formulas, they can determine the ratio of value-added time to total lead time, then enhance this ratio by reducing that troublesome drag on lead time – work in process. With metrics established, Black Belts can recommend approaches involving takt time, one-piece flow, and pull to balance the flow of processes, eliminating the inefficiencies of work in process, cutting overhead budgets, and reducing lead time. Looking closer at the steps of a given process, Black Belts are then able to wield a number of analysis tools such as spaghetti and Venn diagrams, process maps, and value stream maps to reveal lurking time traps, constraints, and wasted steps – all with a view of improving process characteristics for optimum efficiency. This course provides strategies to improve the current state of an organization's processes by analyzing the variables of its processes, using metrics to calculate process flow performance, and employing tools to analyze processes. It connects these tools to the overarching goals of eliminating wasted time, highlighting free time, and increasing the proportion of value-added time. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with process variables and analysis tools as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Process Characteristics for Six Sigma
• identify key concepts relating to the use of SIPOC diagrams and cause-and-effect matrices for identifying and prioritizing process variables
• use the formula for calculating process cycle efficiency (PCE)
• calculate the desired amount of work in process (WIP) and predict the consequent improvement in PCE
• identify the benefits of reducing WIP
• match value flow concepts to definitions
• calculate takt time and determine the best option for streamlining a process to meet customer demand, in a given scenario
• identify steps for creating a spaghetti diagram
• use a Venn diagram to find potential free time in an employee's schedule
• match process analysis tools to descriptions of their use
• sequence activities involved in conducting a value stream analysis
• interpret elements of a value stream map
Número do curso: oper_15_a01_bs_enus
- DATA COLLECTION AND MEASUREMENT IN SIX SIGMA
Descrição
An organization's success depends upon how it delivers on its processes. Before Black Belts can begin to improve an organization's processes, they must measure those processes with the appropriate data. The crucial steps of data collection and measurement precede process improvement in any Six Sigma initiative. Successful data collection starts with careful planning; a knowledge of various data types, sampling strategies, and measurement methods; and an ongoing awareness of best practices for ensuring data accuracy and integrity. Only reliable and suitable data will yield dependable analyses that translate into desired process improvements. As Six Sigma team leaders, Black Belts will help to oversee careful data collection efforts during the Measure phase of the Six Sigma DMAIC process. They will determine what should be measured, how data should be collected, and what tools can be employed to gather data as the basis for further improvements. This course prepares Black Belts for successful data collection by surveying the types of data, measurement scales, sampling methods, and collection techniques available. It offers guidance for ensuring data integrity, pointing to different collecting methods for different informational needs, and recommending best practices for front-line data collectors. It compares the relative advantages of both manual and automated data collection, and surveys the wide variety of tools available for measuring the properties of an organization's products or services. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with Six Sigma data collection concepts as scoped in the ASQ – Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Data Collection and Measurement in Six Sigma
• determine what type of data to collect in a given scenario
• recognize how to convert data into a different data type
• match measurement scales to associated statistical analysis tools
• recognize the use of best practices for ensuring data accuracy and integrity in data collection
• match sampling methods with applications suitable to their use |w
• identify the advantages of automated data collection
• sequence the steps in the data mining process
• match measurement tool categories to descriptions
• recognize an example of the correct application of the rule of ten
• classify examples of tests as destructive or nondestructive
Número do curso: oper_15_a02_bs_enus
- SIX SIGMA MEASUREMENT SYSTEMS
Descrição
Six Sigma measurement systems are vital to improving an organization's processes. Measurement systems encompass the conditions, devices, and the human element of measurement, which together must produce correct measurements and comply with appropriate standards. Measurement error, or measurement variability, is a problem whose components must be thoroughly understood and kept in check to maintain the effectiveness of any measurement system. Measurement variability contributes to the overall variability in the process and it is important to understand its sources and minimize it. Black Belts can calculate correlation, bias, linearity, stability, reproducibility, and repeatability to analyze and further improve measurement systems. This course examines how to analyze a measurement system to help it produce correct measurements and minimize its proportion of variability in the overall variability. It introduces key elements of metrology and international systems of measurement, explores the many sources of measurement error, and surveys a broad range of items that can be measured in various functional areas of the enterprise. The course also presents some of the considerations influencing the use of measurement systems in service industries. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with Six Sigma measurement systems as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Six Sigma Measurement Systems
• classify the source of error in a measurement scenario
• recognize the components and meaning of measurement error
• recognize how an instrument's attributes should be considered when setting calibration intervals
• recognize the appropriate consideration of required elements for developing a traceability document
• use agreement values to interpret measurement data, in a given scenario
• calculate and interpret bias as a percentage of tolerance, in a given scenario
• interpret a linearity plot
• assess the stability status of a measurement system based on an x bar and R chart
• use the formulas for repeatability and reproducibility to evaluate a measurement system, in a given scenario
• match examples of performance measures to functional areas
• identify considerations related to measurement in a service context
Número do curso: oper_15_a03_bs_enus
- BASIC STATISTICS AND GRAPHICAL METHODS FOR SIX SIGMA
Descrição
Organizations must ensure that their processes and products are extremely consistent, as variations can lead to rejected orders, lower revenues, and eventually, financial disaster. Basic statistics can provide Black Belts with the tools to summarize and assess collected data in a meaningful way. Black Belts can use descriptive (enumerative) statistics to tabulate and graphically represent sample data through a number of informative charts and diagrams. Using analytical (inferential) statistics, supported by the central limit theorem, Black Belts can confidently make inferences about the larger population based on their sample data, and can test the statistical validity of their inferences. Thus, basic statistics can provide an organization with a view of its performance in graphical format, and the tools for reaching valid conclusions regarding its processes and products. This course provides Black Belts with basic statistical tools for describing, presenting, and analyzing sample and population data. It explores the process of preparing and presenting sample data using graphical methods and then making valid inferences about the population represented by the sample. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with Six Sigma basic statistics as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Basic Statistics and Graphical Methods for Six Sigma
• match measures of central tendency to their characteristic advantages and limitations
• calculate measures of dispersion in a given scenario
• construct a cumulative frequency diagram in a given scenario
• recognize how to set class intervals for frequency distributions
• predict and interpret the histogram shape that would result from a given frequency distribution
• recognize how to use normal probability plots to determine whether data is normally distributed
• identify statements that reflect correct interpretations of a complex box plot
• identify the best interpretation of a given run chart
• recognize how to use a scatter plot to find the optimum target value and tolerance zones for a process parameter
• recognize the significance of the central limit theorem for inferential statistics
• match tools for drawing valid statistical conclusions to descriptions of their use
Número do curso: oper_15_a04_bs_enus
- PROBABILITY FOR SIX SIGMA
Descrição
Organizations need to make inferences about a population from sample data, and understanding how to calculate the probability that an event will occur is crucial to making those inferences. In a Six Sigma context, it is often important to calculate the likelihood that a combination of events or that an ordered combination of events will occur. Understanding probabilities can provide Black Belts with the tools to make predictions about events or event combinations. To make accurate inferences about a population from the sample data collected in the Measure stage, Black Belts must also be familiar with the characteristics of various probability distributions, and their suitability for different types of data. Understanding the behavior of probability distributions allows the Black Belts to find the probability that values will be found within a given range, and thus to provide information on the variation in the organization's processes and products. This course provides Black Belts with basic information on probabilities and probability distributions, from the frequently used normal, Poisson, and binomial distributions, to the more specialized hypergeometric, Weibull, bivariate, exponential, and lognormal, as well as the distributions that test hypothesis and set confidence intervals: Chi-square, Student's t, and F distributions. When chosen appropriately to represent the data, these distributions will provide information on process and product variation, and support subsequent inferences based on sample data. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft’s ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with Six Sigma probability computations and distributions as scoped in the ASQ - Six Sigma Green Belt body of knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Probability for Six Sigma
• calculate the probability of compound events in a given scenario
• use the appropriate formula to calculate the number of combinations or permutations in a given scenario
• choose the appropriate discrete distribution for a given study
• identify equivalent approximations and conditions under which they hold true
• choose the most suitable continuous probability distribution to use for a given scenario
• recognize the characteristics and applications of lognormal, exponential, Weibull, and bivariate distributions
• choose the appropriate distribution formula and use it to find probability, for a given scenario
• use the Z-score formula and normalized Z-table to calculate cumulative probability of a value, in a given scenario
• calculate the mean and standard deviation for binomial data
• calculate probability using the hypergeometric distribution formula
• recognize whether or not the hypergeometric distribution should be used and why, in a given scenario
• match Chi-square, Student's t-distribution, and F distribution to descriptions of when they are typically applied
Número do curso: oper_15_a05_bs_enus
- PROCESS CAPABILITY FOR SIX SIGMA
Descrição
In any improvement initiative, organizations must determine whether their existing processes meet the targets and specifications demanded by the business, or by the customer. Measuring and analyzing the capability and performance of a process under review enables organizations to numerically represent and interpret its current state, and to report its sigma level. When done correctly, process capability analyses enable Black Belts to precisely assess current performance in light of future goals, and ultimately, to determine the need and targets of process improvement. Process capabilities can be determined for normal and non-normal data, and for variable (continuous) and attribute (discrete) data alike. This course explores the considerations, verifications, and associated calculations used to conduct process capability studies, from choosing parameters and verifying the stability and normality of a given process, to gathering and interpreting capability and performance data using common indices. It also explores the special treatment of non-normal data and attributes data in the context of a capability study. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with basic concepts in the measurement and analysis of process capability as scoped in the ASQ - Six Sigma Green Belt body of knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Process Capability for Six Sigma
• calculate process performance using metrics for yield, defect, and sigma levels
• use appropriate process capability and performance indices to assess a given process
• identify suitable approaches for identifying characteristics, tolerances, and specifications in a process capability study
• match methods of testing normality to their descriptions
• identify recommendations for sampling data
• choose the best recommendation for process improvement, given the results of a process capability study
• interpret the capability and performance index results in a process capability study
• recognize how to process non-normal data in a capability study
• match attribute control charts with the circumstances in which they can be used to determine process capability
Número do curso: oper_15_a06_bs_enus
- CORRELATION AND REGRESSION ANALYSIS IN SIX SIGMA
Descrição
As a Six Sigma team moves into the Analyze stage of the DMAIC process, it looks more closely at the variables and variable interrelationships identified during the Measure stage. As part of the analysis, a scatter diagram of dependent and independent variables is drawn to visualize the form, strength, and direction of their relationships. By determining their correlation coefficient, a linear relationship can be quantified and identified as positive, negative, or neutral. Then, using regression analysis, a model is developed to describe the relationship as a linear equation and then used for predictions and estimations. However, it is essential to analyze the uncertainty in the estimate, to test that the relationship between variables is statistically significant, and that the model is valid. This course discusses two important tools – correlation and regression analysis for measuring and modeling relationships between variables. In terms of correlation, it takes learners through examples of scatter diagrams for two variables, the calculation and interpretation of the correlation coefficient, and the interpretation of its confidence interval. The course also draws learners' attention to some key considerations in correlation analysis, such as correlation and causation. In terms of regression analysis, the course discusses the simple linear regression model, how to create it using sample data, interpret and use it, and conduct a hypothesis test to check that the relationship between the variables is statistically significant. Finally, the course looks into how residual analysis is used to test the validity of the regression model. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with simple linear correlation and regression concepts as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 1.5
Objectivos
Correlation and Regression Analysis in Six Sigma
• calculate and interpret the correlation coefficient r
• recognize the characteristics exhibited by a given scatter diagram
• recognize key considerations related to correlation analysis
• calculate and interpret the equation for the line of least squares in a given scenario
• use the p-value method to validate a hypothesis test for a given regression equation
• interpret graphs used to perform a residual analysis
Número do curso: oper_16_a01_bs_enus
- MULTIVARIATE ANALYSIS AND ATTRIBUTE DATA ANALYSIS IN SIX SIGMA
Descrição
In the Analyze phase of the DMAIC methodology, a Six Sigma team begins to analyze the root causes of the problems that it identified in the earlier stages. This analysis may require churning out huge volumes of data of different types. Sometimes this data is of a multivariate nature, meaning that many dependent and independent variables need to be considered simultaneously. As such, Six Sigma teams often use advanced multivariate tools to manage this type of data. Data can also be of an attribute nature, for which Six Sigma teams use a different set of data analysis tools for analyzing and interpreting this type of data. This course deals with the tools used in Six Sigma for multivariate analysis and attribute data analysis. It discusses multivariate tools such as principal components, factor analysis, discriminant analysis, and multiple analysis of variance (MANOVA). It also deals with attribute data analysis using tools such as logistic regression, logit analysis, and probit analysis. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with basic exploratory data analysis concepts as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 1.5
Objectivos
Multivariate Analysis and Attribute Data Analysis in Six Sigma
• perform aspects of a principal components analysis (PCA)
• sequence the steps in a PCA
• interpret factor scores as part of factor analysis (FA)
• recognize the differences between factor analysis (FA) and principal components analysis (PCA)
• interpret the results of a discriminant analysis
• interpret the results of a multiple analysis of variance (MANOVA)
• predict probability of the dependent variable for a given independent variable using logistic regression
• calculate logit probability using the logit equation
• interpret the results of the probit analysis of a given data sample
Número do curso: oper_16_a02_bs_enus
- HYPOTHESIS TESTING CONCEPTS AND TESTS FOR MEANS IN SIX SIGMA
Descrição
In the Analyze phase of the DMAIC methodology, Six Sigma teams analyze the underlying causes of issues that need to be addressed for the successful completion of their improvement projects. To that end, teams conduct a number of statistical analyses to determine the nature of variables and their interrelationships in the process under study. It is rarely possible to study and analyze the full scope of population data pertaining to all processes, products, or services, so Six Sigma teams typically collect samples of the population data to be analyzed, and based on that sample data, they make hypotheses about the entire population. Because there is a lot at stake in forming the correct conclusions about the larger population, Six Sigma teams validate their inferences using hypothesis tests. This course builds on basic hypothesis testing concepts, terminologies, and some of the most commonly used hypothesis tests – one- and two-sample tests for means. The course also discusses the importance of sample size and power in hypothesis testing, as well as exploring issues relating to point estimators and confidence intervals in hypothesis testing. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with basic hypothesis testing and test for means concepts as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Hypothesis Testing Concepts and Tests for Means in Six Sigma
• use key hypothesis testing concepts to interpret a testing scenario
• recognize the implications of a hypothesis test result for statistical and practical significance
• use the margin of error formula to determine sample size for a given alpha risk level
• match definitions to key attributes of point estimates
• distinguish between statements expressing confidence, tolerance, and prediction intervals
• recognize how confidence intervals are used in statistical analysis
• calculate the confidence interval for the mean and interpret the results in a given scenario
• calculate the tolerance interval in a given scenario
• perform key steps in a one-sample hypothesis test for means, and interpret the result
• test a hypothesis using a two-sample test for means
Número do curso: oper_16_a03_bs_enus
- TESTS FOR VARIANCES AND PROPORTIONS, ANOVA, AND CHI-SQUARE TESTS IN SIX SIGMA
Descrição
As a Six Sigma team moves into the Analyze phase of a project, team members begin analyzing the information and data collected in the earlier phases. During the Analyze phase, Six Sigma teams identify possible sources of variation, underlying root causes, and areas for improvement. It is here where assumptions or hypotheses about a process, product, or service are made and validated using tests based on sample data. This course aims to familiarize you with some of the advanced hypothesis tests used in Six Sigma. You are taken through the key steps in testing hypotheses for proportions, variances, and analysis of variance (ANOVA), and their underlying assumptions, with the help of examples and case studies. You will also learn how to use goodness-of-fit test statistics and contingency tables for validating hypotheses about various aspects of the variables being analyzed. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with hypothesis tests for variances, proportions, ANOVA, and chi-square in Six Sigma as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Tests for Variances and Proportions, ANOVA, and Chi-square Tests in Six Sigma
• perform key steps in a hypothesis test for proportions, and interpret the results
• perform key steps in a one-sample hypothesis test for variance, and interpret the results
• distinguish between characteristics of one-sample tests for variance and two-sample tests for variance
• perform key steps in a one-way ANOVA and interpret the results
• interpret results in a two-way ANOVA
• recognize examples of business problems that warrant a two-way ANOVA
• determine whether a goodness-of-fit test was calculated and interpreted correctly
• identify business problems or organizational questions that are suitable for a goodness-of-fit test
• use a contingency table to test the relationship between two variables
• identify statements that describe the purpose of contingency tables
Número do curso: oper_16_a04_bs_enus
- NONPARAMETRIC TESTS IN SIX SIGMA ANALYSIS
Descrição
Hypothesis testing is a process of assuming an initial claim about the population characteristics and then statistically testing this claim using sample data. Testing hypotheses is a very important activity in Six Sigma projects in the areas of analysis, decision making, and change implementation. In conventional hypothesis tests – called parametric tests – a sample statistic is obtained to estimate a population parameter and hence requires a number of assumptions to be made about the underlying population; such as the normality of data. However, another category of hypothesis tests – called nonparametric tests – is used when some of these assumptions (such as normality of data) cannot be safely made. Nonparametric tests require fewer assumptions and are often used when the data is from an unknown or non-normal population. Nonparametric tests are not completely free from assumptions, however. For instance, they still require the data to be from an independent random sample. The course aims to familiarize learners with approaches for analyzing nonparametric data, particularly the use of four nonparametric tests for validating hypotheses: Mood's Median tests, Levene's tests, Kruskal-Wallis tests, and Mann-Whitney tests. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with population parameters, sample statistics, and basic hypothesis testing methodology as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Nonparametric Tests in Six Sigma Analysis
• match approaches for working with nonparametric data to descriptions
• identify statements that define nonparametric tests
• recognize situational factors that call for a nonparametric method and choose the appropriate test, in a given scenario
• identify the limitations of nonparametric tests
• identify key characteristics and assumptions of Mood's Median test
• validate a hypothesis test for equality of medians using Mood's Median test
• select the situation that is best suited for a Kruskal-Wallis test
• validate a hypothesis by performing a Kruskal-Wallis test
• recognize examples of business problems that are suitable for a Mann-Whitney test and identify the assumptions that must hold true
• validate a hypothesis by calculating the Mann-Whitney test statistic and interpreting the result
• recognize how the test statistic is calculated for a Mann-Whitney test
• recognize examples of business problems that are suitable for Levene's test
• perform a Levene's test to validate a hypothesis in a given scenario
• recognize steps in the procedure for performing Levene's test
Número do curso: oper_16_a05_bs_enus
- NON-STATISTICAL ANALYSIS METHODS IN SIX SIGMA
Descrição
Getting to the source of why something has gone wrong in a system or process is critical to identifying the changes necessary for resolving the problem. During the Analyze phase of a Six Sigma project, a Black Belt practitioner utilizes a variety of statistical and nonstatistical tools and methods for analyzing systems and processes to identify variation and defects, reduce costs, eliminate waste, and reduce cycle time. While many of the tools used in the Analyze phase are statistical and quantitative in nature, there are many useful nonstatistical methods. Nonstatistical methods help in the analysis by including qualitative considerations in identifying potential problems, their root causes, and their impacts. They help prioritize these causes and generate initial ideas for resolving problems when a project enters the Improve phase. This course covers the use of various nonstatistical analysis methods including failure modes and effects analysis (FMEA), gap analysis, scenario planning, root cause analysis, the 5 Whys, fault tree analysis (FTA), and waste analysis. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with failure modes and effects analysis (FMEA), root cause analysis tools, and waste analysis in Six Sigma as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Nonstatistical Analysis Methods in Six Sigma
• interpret a failure modes and effects analysis (FMEA) worksheet to prioritize failures for improvement
• recognize the distinctions and relationships between Process FMEAs and Design FMEAs
• calculate the risk priority number (RPN) for a given cause of failure
• identify the purpose of gap analysis in Six Sigma
• sequence examples of the performance of each step in a gap analysis
• recognize activities performed in the scenario planning process
• identify the characteristics of scenario planning
• match suggested steps in a root cause analysis to associated activities
• identify errors made by a team conducting a 5 Whys analysis, in a given scenario
• interpret a fault tree analysis (FTA)
• classify situations as more suitable for fault tree analysis (FTA) or for failure modes and effects analysis (FMEA)
• recognize the type of waste expressed in a conventional statement and associate it with Lean Six Sigma thinking for eliminating that waste
Número do curso: oper_16_a06_bs_enus
- DESIGNING AND PLANNING EXPERIMENTS IN SIX SIGMA
Descrição
Six Sigma teams concluding the Analyze phase with a well-understood problem strive in the Improve phase to generate a well-designed solution. Design of experiments (DOE) is a controlled approach to experimentation that enables teams to systematically change the level of one or more input factors and observe the effects on the targeted response. If teams exercise care in choosing the right design – including suitable factors, levels, and responses – their experiments can reveal the precise combination of factors that will optimize the response. Later, that combination will be tested, validated, and ultimately implemented to effect the desired process improvement. This course surveys the concepts that are fundamental to design of experiments methodology, including the basic elements of experiments; principles for minimizing the effects of error, noise, and aliasing; and strategies for designing experiments with a maximum of power and resolution within the practical realities of resource and time constraints. The focus is on the planning stage of DOE, when teams set experimental objectives; select the factors, levels, and responses to be studied; choose the best experimental design; and prepare to run the experiments. In describing these activities, the course explores the questions teams should consider at each stage of planning, and it provides recommendations for building a design to meet a variety of needs. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with DOE terminology, principles, and the concepts around planning design experiments in Six Sigma as scoped in the ASQ – Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Designing and Planning Experiments in Six Sigma
• identify the purposes of design of experiments (DOE)
• match key DOE elements with examples
• recognize a balanced experiment from its design table
• recognize factors that should be blocked and randomized in a given scenario
• distinguish between reasons for using repetition and replication
• calculate the interaction effect between factors in a given scenario and determine its significance
• recognize the role of power in an experiment
• match common experimental resolution levels to descriptions
• classify the goal of an experiment, in a given scenario
• identify recommendations for choosing responses, factors, and levels in an experiment
• identify considerations related to measurement methods in DOE
• choose an experimental design in a given scenario
• recognize the differences between full and fractional factorial designs
Número do curso: oper_17_a01_bs_enus
- CONDUCTING EXPERIMENTS AND ANALYZING RESULTS IN SIX SIGMA
Descrição
Six Sigma teams design and conduct experiments to investigate the relationships between input variables and response variables. By controlling and changing the input variables and observing the effects on the response variables, a Six Sigma team gains a deep understanding of these relationships. After determining what and how much needs to be changed to meet the desired improvement, teams generate solution ideas based on the best combination of input variables' settings to optimize the response, and then the ideas are tested, implemented, and validated. Later in the Control stage, efforts are made to keep the improved processes, products, or services under statistical control and to retain the gains. This course explores full and fractional factorial designs and the DOE process. In addition, it teaches how to select, test, and validate solutions using a variety of analysis, screening, and testing tools commonly used in Six Sigma. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with DOE terminology, principles, and concepts; linear regression; and analysis of variance (ANOVA) as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Conducting Experiments and Analyzing Results in Six Sigma
• determine whether a chosen design is a full factorial design that can meet resolution requirements, in a given scenario
• recognize the characteristics of an experiment, represented by a given run table
• calculate the number of runs in a given experiment
• calculate an estimate of a main effect in a full factorial experiment
• based on results from a full factorial experiment, recognize which terms should be included in the model
• recognize circumstances suitable for a fractional factorial design
• recognize the design implications of a proposed fractional factorial experiment
• interpret an interaction plot
• identify conditions that recommend a randomized block design
• identify the trial pattern that will fully randomize a given block design
• identify the characteristics of Latin square designs
• recognize which experimental factors are significant in the results of a Latin square design
Número do curso: oper_17_a02_bs_enus
- IMPROVEMENT METHODS AND IMPLEMENTATION ISSUES IN SIX SIGMA
Descrição
Six Sigma offers many techniques and strategies to improve an organization's processes. As a Six Sigma team moves into the Improve phase, they begin to generate a list of solutions to address the causes of problems in the process. After plans have been developed, the implementation of the improved process needs to be tested and verified to ensure the optimal choices were made. Finally, risks to the new process need to be examined and minimized. This course looks at improvement methods and implementation issues in Six Sigma. It examines Lean methods used to reduce waste, such as cycle-time reduction, the Japanese principles of kaizen and kaizen blitz, and the application of Goldratt's Theory of Constraints. Also, it looks at tools and techniques for implementing and evaluating the new process. Finally, the course examines risk analysis and mitigation through the use of SWOT analysis, feasibility studies, and PEST analysis. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with basic Lean tools and implementation concepts as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Improvement Methods and Implementation Issues in Six Sigma
• identify best practices and methods associated with Lean tools
• identify characteristics of cycle-time reduction tools and the steps in SMED
• recognize how to apply Theory of Constraints concepts to help analyze process throughput and alleviate bottlenecks
• recognize examples of activities typically performed during each day of a kaizen blitz
• determine whether best practices are followed for a pilot test, given a scenario
• sequence the steps in conducting a simulation
• identify areas for improvement in a demonstration
• use a SWOT analysis to identify strengths, weaknesses, opportunities, and threats to a business
• recognize the techniques associated with each stage of conducting a feasibility study
• recognize examples of the issues that apply to each area of a PEST analysis
Número do curso: oper_17_a03_bs_enus
- STATISTICAL PROCESS CONTROL (SPC) IN SIX SIGMA
Descrição
Ensuring a process is in control is critical to any Six Sigma project, but how do you determine with certainty if a process is on track or requires improvement? Where do you find the 'proof' or solid facts that a process is out of control and requires intervention? By applying statistical process control (SPC) methods, a Six Sigma team can identify and control variation in a process. This course covers the basic concepts in statistical process control methodology, including the selection of variables and rational subgrouping. One of the most important tools used in SPC methodology is the control chart, and this course explores how to select the right control chart for the variables being measured, and how to interpret specific patterns they reveal. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with SPC objectives, principles, and control charting tools as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Statistical Process Control (SPC) in Six Sigma
• recognize the objectives of statistical process control (SPC)
• recognize key concepts related to the use of SPC
• recognize examples of variables that are good candidates for statistical process control
• select the best option for rational subgrouping, in a given scenario
• recognize the description of the rational subgrouping principle
• identify considerations for determining appropriate subgroup size
• use the appropriate control chart to determine upper and lower limits for a given process
• recognize suitable applications for moving average charts
• calculate moving averages
• identify key concepts related to the use of short-run SPC charts
• determine appropriate corrective actions for the trend exhibited in a given control chart
Número do curso: oper_18_a01_bs_enus
- NON-STATISTICAL CONTROL TOOLS AND MAINTAINING CONTROLS IN SIX SIGMA
Descrição
In the final stages of the Six Sigma DMAIC methodology, once process improvement opportunities are identified and implemented, teams need to control the improved processes in order to sustain improvement gains. Process control includes applying tools to continuously monitor and maintain each improved process, and to prevent it from reverting to its previous state. This course introduces basic nonstatistical control tools as well as tools for maintaining control so that process improvement initiatives continue as they were intended. Specifically, it explores how total productive maintenance (TPM) promotes shared responsibility for maintaining process gains, and how the visual factory provides at-a-glance information about process status, targets, and performance. In addition, this course highlights the need to re-analyze the measurement system after completing an improvement project, and provides guidelines for drawing conclusions from the re-analysis. It tours the key elements of a vital tool for maintaining controls – the control plan – and explores the steps for developing an effective plan. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with concepts related to measurement systems analysis and control plan development as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Nonstatistical Control Tools and Maintaining Controls in Six Sigma
• recognize statements that reflect the goals and features of total productive maintenance (TPM)
• sequence the steps recommended for implementing total productive maintenance (TPM)
• sequence descriptions of the stages of small group development
• use the overall equipment efficiency (OEE) calculation to evaluate the performance of a TPM company
• recognize the basic goal of a sample element from a visual factory
• recognize how various factors influence the decision to improve a measurement system in a given scenario
• recognize the effect of reduced process variation on measurement system performance metrics
• identify characteristics of a control plan
• recognize examples of information typically included in a control plan
• identify actions involved in transferring responsibility from the Six Sigma team to the process owner
Número do curso: oper_18_a02_bs_enus
- SUSTAINING IMPROVEMENTS AND GAINS FROM SIX SIGMA PROJECTS
Descrição
As a Six Sigma project winds down, there are a number of activities that, if utilized, can determine whether the implemented process improvement will continue to meet intended results, thus contributing to the overall and ongoing success of the organization. This course will explore the importance of utilizing lessons learned from a Six Sigma project, and the role of training and documentation in sustaining support for Six Sigma improvements. Specifically, it will explore the use of a postmortem analysis, guidelines for developing training plans, and recommendations for delivering the training plan. Documentation such as manuals, work instructions, and standard operating procedures will be discussed, along with different measurement tools that can be used for ongoing evaluation of the improved process. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with basic concepts related to documenting processes and sustaining Six Sigma improvements, as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Sustaining Improvements and Gains from Six Sigma Projects
• identify the overarching benefit of conducting a postmortem analysis in a Six Sigma project
• determine what a Black Belt should have done differently in scheduling and selecting participants for a postmortem analysis, in a given scenario
• identify the three categories of points to prepare for a postmortem session
• recognize the key objectives of conducting and presenting the results of a postmortem
• match examples of planning considerations to the aspect of training they help you to plan
• identify elements that enhance communication in a training session
• recognize examples of recommended presentation practices in a given training scenario
• identify good practices associated with evaluating and following up on training
• identify the characteristics of effective documentation
• rank four types of documentation according to the documentation hierarchy
• distinguish between types of documentation by recognizing examples of information suitable for each
• recognize the best strategy for ongoing evaluation
Número do curso: oper_18_a03_bs_enus
- COMMON DESIGN FOR SIX SIGMA METHODOLOGIES, DESIGN FOR X, AND ROBUST DESIGN
Descrição
Design for Six Sigma (DFSS) is the methodology associated with the design of a process, product, or service, which results in Six Sigma output that satisfies both the external customer and internal business requirements. DFSS is an innovative strategy for the design or redesign of a process, product, or service from the ground up. This course examines several of the common methodologies utilized in Design for Six Sigma (DFSS), beginning with the two common counterparts to the DMAIC methodology: DMADV and DMADOV. Design for X is emerging as an important knowledge-based multifunctional approach to design that is aimed at particular prioritized process constraints, such as cost, manufacturability, testability, or maintainability. This course explores several constraints in more detail, offering strategies for achieving designs concentrated on the chosen criteria. Another recently developed approach, robust design, uses parameter and tolerance control to produce designs which will be reliable during manufacturing and while in use. This course will address the basic aims of parameter control, tolerance design, and statistical tolerancing. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with basic Design for Six Sigma concepts as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Common Design for Six Sigma Methodologies, Design for X, and Robust Design
• match new-product terms to examples
• determine whether or not DFSS is appropriate for a given situation, and why
• identify tools and approaches that are included in DFSS methodology
• match the steps of the DMADOV methodology with the questions asked and activities performed in them
• identify key requirements of a DFX initiative
• identify the definition of Design for X (DFX)
• match design for manufacturability and producibility strategies to examples of their practical implementation
• recognize how to set and use target cost when designing for cost
• recognize valid circumstances for readjusting a target cost
• match DFX characteristics to associated strategies for design
• identify the goals of robust design
• use tolerance design calculations to determine tolerance specifications in a given scenario
• distinguish between worst-case tolerancing and statistical tolerancing approaches
Número do curso: oper_19_a01_bs_enus
- SPECIAL DESIGN TOOLS IN DESIGN FOR SIX SIGMA
Descrição
Six Sigma offers many techniques and strategies to improve an organization's processes. This course covers the strategic and tactical special design tools that can be utilized as a Six Sigma team designs products, processes, or services. Strategic special design tools like Porter's five forces model, portfolio architecting, and set-based design can be used to achieve breakthroughs in design problems that seem unsolvable. Tactical special design tools such as the Theory of Inventive Problem Solving (TRIZ), systematic design, critical parameter management, and Pugh analysis can provide a clear and concise way of identifying the root cause of poor designs. The tools then increase the quality of idea generation and problem solving. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.
Público alvo
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Pré-requisitos
Proficiency at the Green Belt level with basic DFSS concepts as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Duração esperada (horas): 2.0
Objectivos
Special Design Tools in Design for Six Sigma
• match Porter's five forces with descriptions of their impact on organizations
• identify the strategic characteristics of Porter's five forces model
• match assessments of an organization's market position with the Porter's forces they represent
• recognize examples of proactive strategies associated with an analysis of Porter's five forces
• recognize the strategic goal of portfolio architecting
• recognize examples of the elements of set-based design
• sequence activities associated with a TRIZ approach to problem solving
• identify how TRIZ benefits a DFSS initiative
• recognize the structure of the conceptual phase of modern systematic design
• recognize the key characteristics and benefits of critical parameter management
• choose the best concept and take it into the next step of a Pugh analysis in a given scenario
• identify key characteristics of Pugh analysis
• sequence the steps in a Pugh analysis
Número do curso: oper_19_a02_bs_enus
CERTIFICAÇÃO GREEN BELT SEIS SIGMA (SSGB)
EXAME DE CERTIFICAÇÃO GREEN BELT SEIS SIGMA
- SIX SIGMA AND LEAN IN THE ORGANIZATION
Descrição
Six Sigma is a highly disciplined, data-driven improvement program that helps companies focus on eliminating defects in any process and delivering near-perfect products and services. Six Sigma has been globally accepted as a profitable and winning business strategy. More and more companies are embracing Six Sigma in a time when competition and sluggish markets have left operational efficiency and quality improvement as the only way to protect margins and win customer loyalty. Originally developed in Toyota's manufacturing operations, Lean is a continuous improvement approach that focuses activities on reducing wastes. Whereas Six Sigma helps companies reduce defects and improve quality, Lean thinking helps reduce waste and improve process flow and speed. Due to the complementary nature of the Lean approach, many organizations incorporate it into their overall Six Sigma strategy. This course will examine how Six Sigma and Lean help organizations achieve their strategic goals and why so many successful organizations attribute their success to them. The course first introduces the key concepts and contributors associated with Six Sigma, and then moves on to basic Lean tools used to identify and remove waste and improve process flow. This course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.5
Objectivos
Six Sigma and Lean in the Organization
• identify the key characteristics of Six Sigma
• recognize the benefits of Six Sigma
• match the pioneers of Six Sigma to their contributions
• match examples of Six Sigma metrics to their types
• match balanced scorecard perspectives to examples of their associated metrics
• match stages in the project selection process to examples of their associated activities
• match Lean tools to examples of their application
• match Lean concepts to their descriptions
• recognize examples of different waste types in an organization
• sequence the steps for reducing cycle time
• recognize key concepts associated with Goldratt's Theory of Constraints
Número do curso: oper_05_a01_bs_enus
- DESIGN FOR SIX SIGMA IN THE ORGANIZATION
Descrição
Design for Six Sigma (DFSS) is often called the future of Six Sigma, as it is emerging as a strategy that better serves the current innovation initiatives of many industries. DFSS uses a "pay me now or pay me later" approach by spending more effort and time on process or product design up front to avoid spending time and effort in those areas later. Whereas Six Sigma just focuses on improving existing designs at a later stage, DFSS focuses on creating new and better products and processes from scratch. It designs virtually error-free products and services from the very beginning and, due to its complementary methodology and amazing results, it is now adopted as a key strategy in Six Sigma implementations. This course will examine how Six Sigma combines DFSS methodologies and tools to reach organizational goals. It distinguishes DFSS methodologies from those of Six Sigma, and outlines some of the key DFSS tools such as quality function deployment (QFD) and Failure Modes and Effects Analysis (FMEA). This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and Champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.0
Objectivos
Design for Six Sigma in the Organization
• identify the tools used by Design for Six Sigma (DFSS)
• recognize examples of the benefits of DFSS
• identify situations that call for a DFSS strategy
• identify the key characteristics of DFSS methodologies
• identify the similarities between DFSS and Six Sigma
• identify the differences between DFSS and Six Sigma
• identify customer-focused characteristics of DFSS
• identify examples of the information included in the key sections of a House of Quality matrix
• recognize the four Failure Modes and Effects Analysis (FMEA) types
• recognize the characteristics of Design FMEA (DFMEA) and Process FMEA (PFMEA)
• identify examples of the types of information included in the key areas of a FMEA worksheet
Número do curso: oper_05_a02_bs_enus
- PROCESSES AND CUSTOMER ANALYSIS IN SIX SIGMA PROJECTS
Descrição
A process is a means of creating and delivering products and services needed by customers. According to Takashi Osada, Japanese author and quality pioneer, "if the process is right, the results will take care of themselves." By Six Sigma standards, a "right process" is one that creates and delivers precisely what the customer needs. By this logic, no Six Sigma effort can start without having a high-level picture of an organization's customers and other stakeholders, their needs, and the business processes meant to fulfill those needs. A thorough analysis of the existing business processes - and the products and services they churn out - is the first step in Six Sigma projects. You need to listen to the "voice of the customer" to find out what customers need, identify opportunities for change and improvement, and translate customer needs into goals and customer deliverables. In this course, learners will examine how to analyze process components and stakeholders in an organization. They will also learn about concepts and tools for collecting and analyzing customer information and feedback. The course also explains how customer requirements are translated into goals and deliverables using such tools as Kano analysis, CTQ analysis, and the House of Quality matrix. The course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.5
Objectivos
Processes and Customer Analysis in Six Sigma Projects
• identify the key components of a typical organization's core process
• interpret a project stakeholder worksheet to determine the appropriate actions to take
• identify the characteristics of stakeholders and owners
• identify the internal and external customers for a given project
• identify the most appropriate research tools to collect customer data in various situations
• recognize how number-driven customer data analysis tools are used
• recognize how idea-driven customer data analysis tools are used
• identify how different need-level examples are represented on a Kano analysis diagram
• sequence the steps involved in creating a CTQ tree
• evaluate different areas of a House of Quality matrix
• identify the steps involved in creating a House of Quality matrix
Número do curso: oper_06_a01_bs_enus
- BASICS OF SIX SIGMA PROJECTS AND TEAMS
Descrição
"Effective leadership is putting first things first. Effective management is discipline, carrying it out," says famous motivator and author, Stephen R. Covey. Six Sigma needs both effective leadership and management to deliver its promised results to an organization. It requires all Six Sigma leaders – Master Black Belts, Black Belts, and Green Belts – to effectively lead project teams to deliver their expected results. Understanding team building processes, tools, and role structures helps Six Sigma team members produce desired results and resolve negative team dynamics. In order to achieve this, disciplined schedules, costs, and deliverables are required when managing such projects. The management of Six Sigma projects involves developing and adhering to a project charter that reflects a shared understanding of project expectations, scope, deliverables, and schedule. This course will examine the fundamental project management tools used in a successful Six Sigma project. The course introduces the essential elements of a project charter, explains how project scope and metrics are developed, and gives an insight into the tools used to plan and implement improvement in a Six Sigma initiative. It also looks at team building, team roles, and team dynamics, and examines a variety of team tools that are commonly used in Six Sigma. Along with that, it identifies the most common communication techniques used in the workplace and the situations they are best suited to. This course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.5
Objectivos
Basics of Six Sigma Projects and Teams
• match elements of a project charter for a Six Sigma project to examples of the information they contain
• identify the characteristics of tools used to develop Six Sigma project scope
• match the metrics types to their definitions
• sequence the steps for creating a Pareto chart
• identify correct interpretations of a Gantt chart
• identify the critical path for an activity network diagram
• identify and apply the PERT formula for calculating expected time
• identify the characteristics of key documentation categories
• identify key characteristics associated with risk analysis
• identify the activities associated with project closure
• identify the teams typically used on projects
• identify descriptions of key team roles
• identify true statements about the roles of key players in Six Sigma deployments
• identify the group behaviors characteristic of the key stages of team evolution
• identify solutions for resolving common team problems
• identify characteristics of key team tools used in Six Sigma projects
• identify situations best suited to different communication tools
Número do curso: oper_06_a02_bs_enus
- TOOLS FOR PLANNING AND MANAGING SIX SIGMA PROJECT OPPORTUNITIES
Descrição
In many situations your results are only as good as the tools you use. Knowing which tools to use, and how to apply them effectively, is the key to any endeavor's success. This assertion holds true for process and quality improvement strategies, and Six Sigma and quality improvement teams throughout the world use a set of management and planning tools to analyze and understand a variety of issues. This course will examine the tools used in Six Sigma to help organizations make decisions and plan and communicate findings. These tools include affinity diagrams, interrelationship digraphs, tree diagrams, prioritization matrices, matrix diagrams, process decision program charts, and activity network diagrams. The course describes these tools, identifies their benefits, and uses real-life examples to show the situations that they are best suited to. It also outlines the steps for using each tool in a Six Sigma context. This course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.5
Objectivos
Tools for Planning and Managing Six Sigma Project Opportunities
• recognize the use of best practices for creating an affinity diagram
• sequence the examples of steps for creating a matrix diagram
• identify areas for improvement in a given tree diagram
• interpret a prioritization matrix
• interpret an interrelationship digraph
• identify the critical path for an activity network diagram
• interpret a process decision program chart
Número do curso: oper_06_a03_bs_enus
- USING SIX SIGMA ANALYSIS TOOLS AND METRICS FOR PROJECT DECISIONS
Descrição
Six Sigma is a business improvement methodology that begins by comparing the current state of a company's products and processes to their desired levels. The goal of the Define phase in the Six Sigma DMAIC methodology is to identify improvement opportunities that have the maximum potential for return on time, money, and resource investments. Knowing what projects to select for improvement requires an assessment and analysis of existing business processes. For a precise, objective, and accurate assessment of the existing processes, you need to have correct metrics and knowledge of where and how to use them. Later in a Six Sigma project, during the Control phase, the overall performance of business processes is recalculated to identify process improvement. This course will examine how and when to use the metrics and tools to select Six Sigma projects. The course explores some of the number-driven metrics, such as defects per unit (DPU), rolled throughput yield (RTY), defects per million opportunities (DPMO), and process capability indices. It also explains cost of poor quality (COPQ) as a metric used to assess and indirectly present the potential gains to the company if the quality of products and processes is improved. In addition, the course explores how failure modes and effects analysis (FMEA) is used to identify improvement opportunities that have the highest priority for Six Sigma teams. This course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 1.5
Objectivos
Using Six Sigma Analysis Tools and Metrics for Project Decisions
• calculate defects per unit (DPU)
• use the formulas for calculating rolled throughput yield (RTY)
• calculate first time yield (FTY)
• calculate defects per million opportunities (DPMO)
• identify correct formulas for Cp and Cpk based on given data
• match types of cost of poor quality (COPQ) to their examples
• sequence the key steps in the failure modes and effects analysis (FMEA)
• calculate and analyze risk priority numbers (RPNs)
• calculate the percentage reduction in RPN
Número do curso: oper_06_a04_bs_enus
- MODELING AND ANALYZING PROCESSES IN SIX SIGMA
Descrição
"If you can't describe what you are doing as a process, you don't know what you are doing," says W. Edwards Deming, a well-known American quality advocate, statistician, and educator. During the Measure stage of the Six Sigma methodology, you need to identify and map processes and procedures for problem areas identified during the Define stage, and present them to the Six Sigma team for a closer look. As you start uncovering and analyzing these processes, the likely causes of problems become clearer. This course will examine the tools and techniques used to model and analyze existing processes. From a process modeling perspective, the course looks at techniques such as process mapping, written procedures, and work instructions. From a process analysis point of view, the course examines the use of SIPOC analysis to identify process input and output variables, and explores how cause-and-effect diagrams and relational matrices are used to establish relationships between problems and potential causes. This course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and Champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.0
Objectivos
Modeling and Analyzing Processes in Six Sigma
• identify basic concepts associated with process modeling
• match the process map types to the situations for which they best apply
• identify correct interpretations of a process map, in a given scenario
• match key process map symbols with their use
• identify the key characteristics of written procedures and work instructions
• recognize various SIPOC elements in a given organizational process
• recognize the use of best practice when creating a cause-and-effect diagram
• prioritize process input variables in a Six Sigma improvement project using relational matrices
Número do curso: oper_07_a01_bs_enus
- STATISTICS AND PROBABILITY IN SIX SIGMA
Descrição
Six Sigma bases its analysis and findings on the facts and figures at hand. Statistical studies and probability are the key tools that Six Sigma teams use to measure and analyze issues that are identified in the early stages of Six Sigma projects. This course explores basic statistical concepts that apply to Six Sigma. It distinguishes between enumerative and analytical statistics and population and sample characteristics, and describes the Central Limit Theorem. It also examines basic probability concepts and looks at dependent, independent, and mutually exclusive events, and multiplication and addition rules. This course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.0
Objectivos
Statistics and Probability in Six Sigma
• classify examples of enumerative and analytical statistics
• distinguish between examples of population parameters and sample statistics
• define the statistical terms "population" and "sample"
• identify key concepts of the Central Limit Theorem
• calculate the probability of an event in a given scenario
• match the terms associated with probability to their definitions
• calculate the probability of an independent event in a given scenario
• calculate the probability of a dependent event in a given scenario
• calculate the probability of a mutually exclusive event in a given scenario
• identify how to use the multiplication rule to calculate probabilities of events
• identify how to use the addition rule to calculate probabilities of events
Número do curso: oper_07_a02_bs_enus
DATA CLASSIFICATION AND COLLECTION IN SIX SIGMA
Descrição
"Measure what is measurable, and make measurable what is not so" said Galileo Galilei, the famous Italian physicist, mathematician, astronomer, and philosopher. Measuring the key characteristics in your current processes is a very significant step in any Six Sigma improvement journey. As such, sample data from existing processes needs to be identified, collected, presented, and analyzed. Collecting data that is correct and useful is one of the first steps in the measurement process. Various types of data exist, and they all need appropriate treatment during the collection, presentation, and analysis stages. You also need to be careful when applying sampling techniques to ensure data accuracy and integrity. This course will explore continuous and discrete types of data, and nominal, ordinal, interval, and ratio measurement scales. It will also introduce methods for data collection, such as check sheets and coded data, and deals with the issue of data accuracy and integrity, focusing particularly on sampling techniques such as random sampling and stratified sampling. The course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 1.5
Objectivos
Data Classification and Collection in Six Sigma
• distinguish between examples of continuous and discrete data
• identify the key characteristics of continuous and discrete data
• match the types of measurement scales to their descriptions
• match the key considerations for creating a solid data collection plan to their examples
• identify an example of a well-created check sheet
• identify examples of different types of data coding methods
• match the different types of sampling methods used in Six Sigma to their descriptions
• identify the considerations for determining sample size
• identify the key characteristics of simple random sampling
• identify the tasks associated with taking a stratified sample
Número do curso: oper_07_a03_bs_enus
- SUMMARIZING AND PRESENTING DATA IN SIX SIGMA
Descrição
Six Sigma teams use measures of central tendency and dispersion to reveal key facts about process data and the existing processes. They summarize data and put forth the relationships between various data components for further analysis. The teams then present these relationships in easy-to-understand graphical forms that facilitate comparison and help to identify possible trends. This course deals with the basic concepts of descriptive statistics, such as measures of central tendency and dispersion, and their significance in Six Sigma data analysis. The course also shows how to apply graphical methods, such as stem-and-leaf plots, box-and-whisker plots, run charts, and scatter diagrams, for illustrating relationships among various components of a given dataset. In addition, it examines how to depict distributions using histogram and normal probability plots. The course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 1.5
Objectivos
Summarizing and Presenting Data in Six Sigma
• calculate the key measures of central tendency
• calculate the key measures of dispersion
• make key calculations in the creation of a cumulative frequency table
• sequence the examples of steps for constructing a frequency distribution table
• distinguish between the characteristics of stem-and-leaf plots, box-and-whisker plots, and Pareto charts
• match run chart pattern names to their appropriate interpretations
• identify statements that reflect correct interpretations of a scatter diagram
• identify the general interpretations associated with the three types of histograms
• sequence the examples of steps for creating a normal probability plot
Número do curso: oper_07_a04_bs_enus
- PROBABILITY DISTRIBUTIONS AND MEASUREMENT SYSTEMS ANALYSIS IN SIX SIGMA
Descrição
Probability distributions are an essential part of descriptive statistics that Six Sigma teams can use to assist in fitting collected data into various types of distributions. Probability distributions help to ascertain specific probability values in the distribution and lead the Six Sigma teams down the hypothesis testing roadmap to the next stage of the Six Sigma DMAIC process. Of course, all this is meaningless if the data you have gathered and used is not accurate or precise, which is where measurement systems analysis (MSA) comes into play. MSA is a task in the Measure stage of the Six Sigma DMAIC process and is used to identify the variability caused by the measurement system itself. This course will examine how to calculate normal, binomial, Poisson, chi-square, Student's t-distributions, and F distributions. It will also look at how to assess the precision and accuracy of an organization's current measurement system using Gauge Repeatability and Reproducibility (GR&R), bias, linearity, percent agreement, and Precision/tolerance (P/T) studies. This course is aligned to the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.0
Objectivos
Probability Distributions and Measurement Systems Analysis in Six Sigma
• identify correct observations of a normal distribution curve
• use a z-distribution table to calculate the cumulative probability of the z-value
• calculate probability using binomial distributions
• calculate probability using the Poisson distribution formula
• calculate the cumulative probability of chi-square using a cumulative frequency table
• calculate the chi-square statistic
• calculate the t-statistic for a given data set
• calculate the F-statistic for a given data set
• match the key measurement systems analysis concepts to their characteristics
• calculate the Gauge Repeatability and Reproducibility (R&R) value
• match measurement-correlation factors to their definitions
Número do curso: oper_07_a05_bs_enus
- MEASURING PROCESS CAPABILITY AND PERFORMANCE IN SIX SIGMA
Descrição
Businesses exist to meet the needs of the customers they serve. As such, you must listen to the voice of your customers and build processes that deliver products and services to them. It is also necessary to review processes to ensure they remain within the targets and specifications set by your customers. Measuring the capability and performance of a process is an important activity in Six Sigma DMAIC methodology. Six Sigma teams use process capability and performance measurements, such as process capability (Cp), process capability index (Cpk), process performance (Pp), and process performance index (Ppk), to indicate the current state of a process and its sigma levels. This course will examine the key concepts of process capability and performance, and the methods of measuring and interpreting them in a process capability study. It covers the calculation and interpretation of process capability and performance measurements. It also identifies key considerations for measuring process capability, such as short-term and long-term capability and process capability for discrete data. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.0
Objectivos
Measuring Process Capability and Performance in Six Sigma
• identify key concepts associated with process capability and stability
• identify the correct interpretation of a given process capability diagram
• distinguish between the two methodologies used to measure process performance
• match the essential stages of a process capability study to their descriptions
• calculate and interpret process capability indices for a given data set
• calculate process performance indices
• distinguish between the characteristics of process performance indices and process capability indices
• approximate long-term process capability using the sigma level for short-term process capability
• calculate process capability for a given discrete data set
Número do curso: oper_07_a06_bs_enus
EXPLORATORY DATA ANALYSIS IN SIX SIGMA
Descrição
In the Analyze stage of the Six Sigma DMAIC process, you closely examine the output variable (known as y) and its possible causes or input variables (known as x's) collected in the Measure stage to get a deeper understanding of their relationships. The goal of this analysis is to narrow down the many possible x's identified earlier during the Measure stage, to a few probable ones. This analysis is generally conducted through the use of two important toolsets: exploratory data analysis and hypothesis testing. Methods and tools used in these broad toolsets help to identify a few probable root causes impacting process performance and the Six Sigma project goal. This course introduces some key exploratory data analysis tools used in Six Sigma such as multi-vari studies, correlation, and regression models. The course takes you through the multi-vari analysis to identify positional, cyclical, and temporal variations and how to apply an effective sampling plan for conducting this analysis. It also explains the correlation coefficient, its statistical significance, and how it is different from causation. In addition, the course helps you interpret the linear regression equation and explores how you can use it to model relationships for prediction and estimation of data. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 1.5
Objectivos
Exploratory Data Analysis in Six Sigma
• recognize how multi-vari analysis helps a Six Sigma team during the Analyze stage
• match the steps in a multi-vari analysis to their descriptions
• match variation types with their graphical examples
• sequence examples of the steps in creating a sampling plan for a multi-vari analysis
• interpret scatter diagrams to determine the correlation between variables
• match the correlation coefficient value with the scatter diagram that best illustrates that value
• identify reasons why Six Sigma teams should determine the statistical significance of a correlation coefficient
• match statements about correlation and causation to examples of their respective characteristics
• predict a variable value for a given regression model and other variable value
• recognize the elements of the simple linear least-squares regression equation in a given example
Número do curso: oper_08_a01_bs_enus
INTRODUCTION TO HYPOTHESIS TESTING AND TESTING FOR MEANS IN SIX SIGMA
Descrição
The Analyze phase in Six Sigma closely examines the many process inputs identified in the Measure phase to determine if they are related to outputs, and if a relationship does exist, if it is statistically significant. An important tool for this analysis is hypothesis testing. Hypothesis testing uses statistical analysis to determine if the observed relationship between two or more samples is real or due to random chance. A variety of tests are used to find statistical evidence to reject or "not to reject" a hypothesis. Once this is accomplished, the Six Sigma team is ready to move forward with identifying, testing, and implementing solutions to address the root causes of failure. This course covers the key hypothesis testing concepts and the tests used in Six Sigma. The course will explore the steps for testing hypotheses for one-sample t-tests and two-sample t-tests with the help of real-life examples and case studies. The key terms and the common procedures used to test hypotheses are also introduced. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.0
Objectivos
Introduction to Hypothesis Testing and Testing for Means in Six Sigma
• match the key concepts in hypothesis testing with their descriptions
• recognize examples illustrating the key steps in hypothesis testing
• match each situation type with the appropriate means test
• test a given hypothesis using a one-sample test for means
• test a given hypothesis using a two-sample t-test
Número do curso: oper_08_a02_bs_enus
- HYPOTHESIS TESTS FOR VARIANCES, PROPORTIONS, ANOVA, AND CHI-SQUARE IN SIX SIGMA
Descrição
The hypothesis test is one of the most important tools used in the Analyze stage of the Six Sigma DMAIC methodology. A hypothesis test helps to determine whether or not an observed relationship or difference truly exists between inputs and outputs identified in the earlier stages of the process. Six Sigma teams are interested in determining whether this relationship or difference is due to random chance or if it is a true difference. If it is a real difference, Six Sigma teams like to determine if it has practical significance. The goal of this course is to explore several of the hypothesis tests used in Six Sigma. The course covers the key steps for testing hypotheses for proportions, variances, and paired comparisons with the help of real-life examples and case studies. It also covers how to use single-factor analysis of variance (ANOVA) and how to test hypotheses using a chi-square test. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 1.5
Objectivos
Hypothesis Tests for Variances, Proportions, ANOVA, and Chi-Square in Six Sigma
• identify some of the activities associated with testing hypotheses for variances
• identify some of the activities associated with testing hypotheses for proportions
• identify some of the activities associated with testing hypotheses using paired-comparison tests
• recognize how to determine ANOVA figures in a given scenario
• use a chi-square test statistic to determine statistical significance
Número do curso: oper_08_a03_bs_enus
- DESIGN OF EXPERIMENTS AND VALIDATION OF SOLUTIONS IN SIX SIGMA
Descrição
"We are, I think, in the right road of improvement, for we are making experiments," said Benjamin Franklin. In the Improve stage of the DMAIC process, Six Sigma teams design and conduct experiments to study the nature of relationships between input variables and the response variable(s). They do this by controlling and changing the input variables and observing the effects on the response variable(s). After determining what and how much needs to be changed to meet the desired improvement, teams generate solution ideas to optimize the response, and then the ideas are tested, implemented, and validated. Later in the control stage, efforts are made to keep the improved processes, products, or services under statistical control and to retain the gains. This course explains the basic design of experiments (DOE) concepts and outlines how to select, test, and validate improvement solutions in the final stages of a Six Sigma project. During the course, basic DOE concepts such as factors, levels, interactions, and main effects are introduced. The course also explores the full and fractional factorial designs and the DOE process. In addition, it teaches how to select, test, and validate solutions using a variety of analysis, screening, and testing tools commonly used in Six Sigma. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 1.5
Objectivos
Design of Experiments and Validation of Solutions in Six Sigma
• match the key elements of the DOE methodology with examples
• match each type of DOE with an example
• distinguish between full and fractional factorial DOEs based on the number of runs, factors, and levels for each
• sequence examples of the steps in the DOE process
• identify examples of interactions and main effects in DOE
• match tools that are used to identify improvement solutions with descriptions
• identify how to evaluate and select solutions using a solution selection matrix
• recognize when to use various tools for testing and validating improvement solutions
Número do curso: oper_09_a01_bs_enus
- STATISTICAL PROCESS CONTROL AND CONTROL PLANS IN SIX SIGMA
Descrição
In the final stages of the Six Sigma DMAIC methodology, once process improvement opportunities are identified and implemented, you need to make sure that the improved processes are controlled to sustain the process improvement gains. Statistical process control (SPC) provides tools which can be used to ensure that the processes are continuously monitored, that results are evaluated through the use of various control charts, and that each process is prevented from reverting to its previous state. The goal of this stage is also to develop a control plan to document and hold the gains, and to assist in monitoring and implementing controls. This course aims to introduce basic SPC and control chart concepts and how to develop a control plan to hold the gains prior to the closure of a Six Sigma project. The course identifies the key objectives and benefits of SPC and explains the concept of rational subgrouping. It also introduces the different types and the key elements of control charts, and identifies control chart patterns that indicate an out-of-control process. In addition, the types of control plans and the steps used to construct a control plan are discussed. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 1.5
Objectivos
Statistical Process Control and Control Plans in Six Sigma
• identify the key objectives of statistical process control
• identify the benefits of statistical control
• recognize examples demonstrating the different strategies for rational subgrouping
• match the key elements with descriptions of their roles in control charts
• determine the types of control charts suitable to use for given types of data
• identify control chart patterns that indicate a process is out of control
• match each control plan type with a description of the type of information it provides
• sequence the steps in each phase of the construction of a control plan
• match the key sections of a control plan with the information they contain
Número do curso: oper_09_a02_bs_enus
- USING BASIC CONTROL CHARTS IN SIX SIGMA
Descrição
In a Six Sigma DMAIC project, once you've measured your current processes, analyzed the gaps and causes of problems, and improved processes to the desired level, you need to monitor and control them over an extended period of time. The process may show variation, and control charts are used to determine if the variation is natural to the process or if there is another reason for the discrepancy. Control charts can also be used in other stages of Six Sigma – to examine how a process is performing over time and also to identify and analyze any special cause variations. Depending on the type of data, different types of control charts can be used. They are broadly organized into two categories: charts for variable data, and charts for attribute data. As the journey continues, findings from the control charts may be used as the beginning point for a new improvement initiative.This course deals primarily with basic control chart concepts and how they are created and analyzed in Six Sigma. It teaches methods of creating and analyzing key variable and attribute control charts. The course also identifies the control charts to use in specific situations and the various steps in the standard control charting process. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.
Público alvo
Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level
Duração esperada (horas): 2.5
Objectivos
Using Basic Control Charts in Six Sigma
• recognize which variable or attribute control chart to use in a specific situation
• identify the major activities that are performed at each step in the standard control charting process
• identify the four commonly applied tests that determine evidence of special cause variation
• determine any special cause variation in data by creating and interpreting an Xbar and R chart
• recognize which formulas to use to help determine special cause variation in an Xbar and s control chart
• determine any special cause variation in data by creating and interpreting an ImR chart
• calculate the center line, UCL, and LCL for a p control chart to determine if special cause variation exists
• calculate the center line, UCL, and LCL for an np control chart to determine if special cause variation exists
• calculate the center line, UCL, and LCL for a u control chart to determine if special cause variation exists
• calculate the center line, UCL, and LCL for a c control chart to determine if special cause variation exists
Número do curso: oper_09_a03_bs_enus