Certified Six Sigma Black Belt Curriculum Outline
Lean and Six Sigma
Overview/Description
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.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Lean and Six Sigma
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Six Sigma Projects and the Black Belt Role
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Six Sigma Projects and the Black Belt Role
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Six Sigma Leadership and Change Management
Overview/Description
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 organizations 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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Six Sigma Leadership and Change Management
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Critical Requirements and Benchmarking for Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Critical Requirements and Benchmarking for Six Sigma
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Business Performance and Financial Measures in Six Sigma
Overview/Description
Six Sigma improvement begins with assessing the current performance of an organizations 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.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Business Performance and Financial Measures in Six Sigma
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Forming Project Teams for Six Sigma
Overview/Description
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 organizations 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 teams 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 todays 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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Forming Project Teams for Six Sigma
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Motivation and Communication in Six Sigma Teams
Overview/Description
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 teams 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 todays 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 teams 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.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Motivation and Communication in Six Sigma Teams
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Managing Six Sigma Team Performance
Overview/Description
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 teams 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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Managing Six Sigma Team Performance
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Using Voice of the Customer in Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Using Voice of the Customer in Six Sigma
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Developing Project Charters and Tracking Six Sigma Projects
Overview/Description
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 projects 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 projects 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 projects 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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
1.5
Lesson Objectives
Developing Project Charters and Tracking Six Sigma Projects
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Process Characteristics for Six Sigma
Overview/Description
To improve the processes behind an organizations 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 organizations 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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Process Characteristics for Six Sigma
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Data Collection and Measurement in Six Sigma
Overview/Description
An organizations success depends upon how it delivers on its processes. Before Black Belts can begin to improve an organizations 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 organizations 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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Data Collection and Measurement in Six Sigma
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Six Sigma Measurement Systems
Overview/Description
Six Sigma measurement systems are vital to improving an organizations 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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
Proficiency at the Green Belt level with Six Sigma measurement systems as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Expected Duration (hours)
2.0
Lesson Objectives
Six Sigma Measurement Systems
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Basic Statistics and Graphical Methods for Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
Proficiency at the Green Belt level with Six Sigma basic statistics as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Expected Duration (hours)
2.0
Lesson Objectives
Basic Statistics and Graphical Methods for Six Sigma
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Probability for Six Sigma
Overview/Description
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 organizations 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, Students 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.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Probability for Six Sigma
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Process Capability for Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Process Capability for Six Sigma
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Correlation and Regression Analysis in Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
1.5
Lesson Objectives
Correlation and Regression Analysis in Six Sigma
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Multivariate Analysis and Attribute Data Analysis in Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Multivariate Analysis and Attribute Data Analysis in Six Sigma
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Hypothesis Testing Concepts and Tests for Means in Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Hypothesis Testing Concepts and Tests for Means in Six Sigma
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Tests for Variances and Proportions, ANOVA, and Chi-square Tests in Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Tests for Variances and Proportions, ANOVA, and Chi-square Tests in Six Sigma
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Nonparametric Tests in Six Sigma Analysis
Overview/Description
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: Moods Median tests, Levenes 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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Nonparametric Tests in Six Sigma Analysis
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Nonstatistical Analysis Methods in Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Nonstatistical Analysis Methods in Six Sigma
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Designing and Planning Experiments in Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Designing and Planning Experiments in Six Sigma
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Conducting Experiments and Analyzing Results in Six Sigma
Overview/Description
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.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Conducting Experiments and Analyzing Results in Six Sigma
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Improvement Methods and Implementation Issues in Six Sigma
Overview/Description
Six Sigma offers many techniques and strategies to improve an organizations 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 Goldratts 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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Improvement Methods and Implementation Issues in Six Sigma
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Statistical Process Control (SPC) in Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Statistical Process Control (SPC) in Six Sigma
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Nonstatistical Control Tools and Maintaining Controls in Six Sigma
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Nonstatistical Control Tools and Maintaining Controls in Six Sigma
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Sustaining Improvements and Gains from Six Sigma Projects
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Sustaining Improvements and Gains from Six Sigma Projects
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Common Design for Six Sigma Methodologies, Design for X, and Robust Design
Overview/Description
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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
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)
Expected Duration (hours)
2.0
Lesson Objectives
Common Design for Six Sigma Methodologies, Design for X, and Robust Design
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Special Design Tools in Design for Six Sigma
Overview/Description
Six Sigma offers many techniques and strategies to improve an organizations 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 Porters 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 SkillSofts ASQ-aligned Green Belt curriculum.
Target Audience
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
Prerequisites
Proficiency at the Green Belt level with basic DFSS concepts as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)
Expected Duration (hours)
2.0
Lesson Objectives
Special Design Tools in Design for Six Sigma
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1yr license: $187.00 per course
*Contact a Training Advisor for Discounted Student and Corporate pricing*
*Contact a Training Advisor for Discounted Student and Corporate pricing*
Six Sigma Training - CSSBB Certification
(Certified Six Sigma Black Belt)
The implementation of Six Sigma® projects in your organization weighs heavily on the expertise of professionals who undergo
extensive Six Sigma training to obtain their Six Sigma certification. Known as Six Sigma Black Belt experts, these individuals go
through exacting Six Sigma training to meet the precise demands of Six Sigma certification.
Six Sigma training prepares candidates to fulfill the specific expectations, requirements and experience needed to obtain the Six Sigma certification. Since these experts are responsible for implementing and managing process improvement, problem-solving projects and training and coaching project teams, their Six Sigma training must provide a deep and detailed understanding of Six Sigma philosophies, principles and methodology, related systems and tools and the impact of Six Sigma on various business processes. Six Sigma training also needs to cover leadership skills for building, managing and leading teams and for change management.
Benefits of CBT Direct’s Online Six Sigma Training
CBT Direct boasts the most beneficial online Six Sigma training on the market. With online training, you have the flexibility to study on your schedule, and with the speed and reliability of the internet, CBT Direct’s Six Sigma training course is accessible anywhere you have an internet connection. Convenience finally costs less with CBT Direct – the most affordable online training solution today.
The unique design of CBT Direct’s Six Sigma training course emphasizes learner initiative, self-management and experiential learning. CBT Direct’s online course design begins with the definition of user-focused performance objectives and then proceeds to the selection and implementation of instructional strategies and learning activities appropriate for those objectives. This effective instruction model for CBT Direct’s Six Sigma Black Belt training course ensures the greatest level of comprehension and retention to prepare you for your Six Sigma certification exam.
Who Benefits from CBT Direct’s Six Sigma Training?
Professionals who plan to apply for the Six Sigma certification as well as leaders, managers – any employee involved with Six Sigma implementation and deployment will gain from our Six Sigma training program.
What Professionals Will Learn from CBT Direct’s Six Sigma Training
CBT Direct’s Six Sigma training is aligned with the the ASQ Certified Six Sigma Black Belt certification exam. Candidates will understand and be able to explain the Six Sigma philosophies, principles and foundations.
It teaches Six Sigma certification candidates the five stages of Six Sigma: Define, Measure, Analyze, Improve and Control as well as the basics of Lean concepts. Click here to see a detailed curriculum outline.
Learners will understand Quality Function Deployment (QFD), a systematic process for motivating a business to focus on its customers and to deliver what they need. Courses cover DFX, an approach to increase the efficiency of the product development process so companies can react faster to market and technology changes.
In preparation for Six Sigma certification, employees will acquire detailed knowledge of the process for quantifying the challenges facing your organization. They will become knowledgeable on Measurement Systems Analysis (MSA), important principles of metrology and they will learn salient features of some common measuring instruments, including gauge blocks, calipers, and micrometers, among others.
Courses also cover key exploratory data analysis tools used in Six Sigma such as multi-vari studies, correlation, and regression models. They explain the use of these tools in identifying probable causes that impact process performance and show learners how to determine the most effective approach for improvement.
Through our Six Sigma training program, learners will be able to demonstrate leadership for team building, development and management as well as for change management.
Our Six Sigma training provides a comprehensive program for bringing Six Sigma into your organization, for preparing your employees for Six Sigma certification and for successfully implementing the methodology.
Six Sigma Black Belt Prerequisites
Required Experience
Six Sigma Black Belt requires two completed projects with signed affidavits or one completed project with signed affidavit and three years of work experience in one or more areas of the Six Sigma Body of Knowledge.
Click Here for Six Sigma Black Belt Facts.
Certified Six Sigma Black Belt
