Quality Management: Yellow Belt
Belt:
- 28 Courses | 41h 22m 40s
- 14 Courses | 13h 1m 33s
- 7 Books | 27h 32m
- 1 Audiobook | 19m 14s
- 24 Courses | 21h 9m 8s
- 5 Books | 35h 31m
- 1 Audiobook | 19m 14s
Managing quality well is key to achieving high levels of customer satisfaction. Take quality management to the next step in your organization. A quality management system can help your business coordinate and direct your processes in order to ensure they meet your customers needs. Learn why it is important to ensure your quality management system is the best it can be.
GETTING STARTED
Six Sigma Black Belt: Fundamentals of Lean and Six Sigma and their Applications
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2m 43s
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16m 9s
GETTING STARTED
Six Sigma and Lean: Foundations and Principles
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35s
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2m 55s
COURSES INCLUDED
Six Sigma Black Belt: Fundamentals of Lean and Six Sigma and their Applications
Six Sigma is a data-driven improvement strategy that views all activities within an organization as processes. Process inputs can be controlled and adjusted 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. Its goal is to drive process, product, and service improvements for reducing variation and defects. Lean is also an improvement methodology, but with a different focus. It aims to enhance process flow, reduce cycle time, and eliminate waste. This course introduces Six Sigma and Lean methodologies and looks at the relationship between them. It also explores relationships among business systems and processes using some practical examples of Lean Six Sigma applications 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.
7 videos |
1h 32m
Badge
Six Sigma Black Belt: Project Selection, Roles, and Responsibilities
Deployment of Six Sigma, Lean, or another continuous improvement methodology demands major investments of time, effort, and money on behalf of an organization. Organizations need to exercise due diligence to determine if Six Sigma or Lean is the appropriate methodology to employ, or perhaps a less demanding quality and process improvement approach is better suited to meet their needs. Having decided on the methodology, improvement teams need to determine screening criteria for the selection of most appropriate improvement projects. Success of these projects largely depends upon the contribution of a variety of Six Sigma stakeholders. As a key Six Sigma stakeholder, Black Belts often lead improvement teams and their skills and qualifications are critical to teams' ability to deliver the expected results. This course deals with the key considerations around the selection of Six Sigma, Lean, and continuous improvement projects. It also explores roles and responsibilities of key stakeholders and qualifications needed for Black Belts for leading Six Sigma 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.
7 videos |
1h 22m
Badge
Six Sigma Black Belt: Strategic Planning and Deployment
Strategic planning of Six Sigma projects and Lean initiatives plays a critical role in their success in an organization deploying them. A number of strategic analysis and planning tools, such as Hoshin Kanri, feasibility studies, SWOT and PEST analysis, can be used in support of strategic deployment of improvement projects and to enhance their value and effectiveness. 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 importance of strategic planning and deployment of Six Sigma projects and Lean initiatives and some of the key tools used for this purpose. 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.
8 videos |
1h 51m
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Six Sigma Black Belt: Impact on Stakeholders and Benchmarking
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 and requiring them to adapt to changes caused by improvements. Benchmarking is used in Six Sigma projects to set improvement goals against world-class and competitive reference points. Benchmarking may also be used at later stages in Six Sigma DMAIC while evaluating existing operations and incorporating best practices to maximize the success of improvement efforts. This course helps analyze key stakeholders and explore the impact Six Sigma projects can have on them. 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.
6 videos |
1h 10m
Badge
Six Sigma Black Belt: Using Business and Financial Measures
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 two categories of key measures: 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 business performance measures such as balanced scorecard, key performance indicators (KPIs), and lagging and leading indicators can be used to align Lean Six Sigma initiatives toward organizational goals. It also explores the critical role of customer loyalty in 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 market share, cost-benefit analysis, return on investment (ROI), net present value (NPV), and hard and soft costs and benefits of Six Sigma projects. 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.
7 videos |
1h 42m
Assessment
Badge
Six Sigma Black Belt: Team Dynamics, Roles, and Success Factors
Forming an effective Six Sigma team for driving improvement projects throughout an organization is essential to Six Sigma success. Teams are vital to Six Sigma and Lean projects that have goals of improving an organization's existing quality, enhancing bottom-line performance, and 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 factors critical to team success including management support, clarity of goals, and following ground rules. 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.
7 videos |
1h 28m
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Six Sigma Black Belt: Team Facilitation and Leadership
Six Sigma Black Belts must possess specific qualities to succeed throughout the deployment cycle. Some of these qualities include effective leadership, motivation, team building, and communication. As team leaders, Six Sigma Black Belts need to know how to facilitate teams and apply motivational techniques to achieve assigned goals. Black Belt leaders adopt appropriate leadership approaches to help develop, strengthen, and integrate all elements necessary for the effective team facilitation. They need to recognize the stages of team development and choose targeted approaches for managing performance at every stage. Finally, they need to develop a communication plan that outlines the why, what, who, where, and how of team communication. This course offers strategies for effective team facilitation, which involves leadership, motivation, team building and 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.
7 videos |
1h 44m
Badge
Six Sigma Black Belt: Team Dynamics and Training
Black Belts have the challenging task of managing the full spectrum of team dynamics on Six Sigma improvement projects. Besides resolving conflicts, Black Belts require the skills to manage and optimize group behavior. They must also be familiar with tools and techniques for making team meetings and decision-making process more effective. Black Belts are often called upon to assess training needs and plan its delivery to ensure team members have all necessary skills and knowledge required for the success of improvement projects. This course explores several team dynamics and management techniques for Black Belts. It also deals with training as a tool for improving the performance of Six Sigma team members and strengthening their 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.
8 videos |
1h 18m
Badge
Six Sigma Black Belt: Determining Requirements from the Voice of the Customer
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 customers in order to meet their requirements. Voice of the customer is a critical input at every stage in the Six Sigma DMAIC process, particularly at the Define stage. At this stage, critical customer requirements concerning quality, cost, process, and delivery are collected and translated into measurable, actionable project goals using a number of tools. Using VOC begins with defining Six Sigma goals for collecting and analyzing customer requirements. It is imperative that Six Sigma leaders determine the critical to x (CTx) requirements concerning quality, cost, process, and delivery requirements of customers and the organization. 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 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 CTx, SIPOC, Kano analysis, critical-to-quality (CTQ) analysis, and quality function deployment (QFD) are used to translate customer data into critical customer requirements and 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.
7 videos |
1h 30m
Badge
Six Sigma Black Belt: Business Case, Project Charter, and Tools
A project charter is the most important document used to initiate and manage a Six Sigma project. It is treated as an informal contract between an organization and the Six Sigma team. The project charter articulates the business case for Six Sigma projects, specific 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, the project charter is reviewed periodically by stakeholders in relation to a project's actual progress. A number of project management and analytical tools, such as Gantt charts, tollgate reviews, work breakdown structures, RACI model, affinity diagrams, tree diagrams, and prioritization matrices are used to measure and track the project's progress on a continuous basis. 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 business case and problem statement, as well as 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.
8 videos |
1h 26m
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Six Sigma Black Belt: Process Flow Metrics and Analysis Tools
To improve the processes behind an organization's products and services, a Six Sigma Black Belt must measure them. Among the many Six Sigma tools, several are designed specifically to identify and prioritize process input and output variables and their importance relative to customer or business requirements. Using cause-and-effect matrices, Black Belts can determine which process inputs to target first. 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 to balance the flow of processes and determine the impact that 'hidden factories' could have on process flow metrics. Looking closer at the steps of a given process, Black Belts are then able to wield a number of analysis tools such as flowcharts, spaghetti diagrams, process maps, value stream maps, and gemba walk 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 measure 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. 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.
7 videos |
1h 12m
Badge
Six Sigma Black Belt: Data Types, Sampling, Collection, and Measurement
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 collect data to measure current processes using appropriate methods and tools. Successful data collection starts with careful planning and a knowledge of various data types, measurement methods, and sampling techniques. Black Belts also need to be aware of best practices for ensuring data accuracy and integrity. As Six Sigma team leaders, Black Belts help to oversee careful data collection efforts during the Measure phase of the Six Sigma DMAIC process. This course prepares Black Belts for successful data collection by surveying the types of data, measurement methods, and scales; sampling techniques; and collection methods available. It offers guidance for ensuring data integrity, pointing to different collection methods for different informational needs, and recommending best practices for front-line data collectors. 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.
7 videos |
1h 29m
Badge
Six Sigma Black Belt: Measurement Systems and Metrology
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.
9 videos |
1h 31m
Badge
Six Sigma Black Belt: Using Basic Statistics and Graphical Methods
Organizations must ensure that their products and services are extremely consistent to desired specifications, as variations can lead to rejected orders, reworks, and eventually, customer dissatisfaction and financial losses. Statistics can provide Black Belts with the tools to summarize and assess collected data in a meaningful way for identifying sources of variation and controlling them. 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, test the statistical validity of their inferences, and optimize and control processes. This course provides Black Belts with basic statistical tools for describing, presenting, and analyzing 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.
8 videos |
1h 24m
Badge
Six Sigma Black Belt: Probability and Probability Distributions
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.
7 videos |
1h 30m
Assessment
Badge
Six Sigma Black Belt: Determining Process Performance and Capability
In any improvement initiative, organizations must determine whether their existing processes meet the targets and specifications demanded by the customer, or by the business. 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, variable (continuous) and attribute (discrete) data, and for long- and short-term alike. This course explores key considerations and calculations used in determining process capability and performance. This includes choosing parameters, verifying the stability and normality of a given process, and gathering and interpreting capability and performance data using common indices. The course also explores the special treatment of non-normal data and attributes data in the context of a capability study and long-and short-term capability. 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.
7 videos |
1h 22m
Badge
Six Sigma Black Belt: Measuring and Modeling Relationships between Variables
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.
6 videos |
1h 10m
Assessment
Badge
Six Sigma Black Belt: Basics of Hypothesis Testing and Tests for Means
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.
8 videos |
1h 26m
Badge
Six Sigma Black Belt: Variances and Proportions, ANOVA, and Goodness-of-fit
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.
7 videos |
1h 27m
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Six Sigma Black Belt: Multivariate Tools and Nonparametric Tests
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. Another set of advanced statistical analysis tools used in this phase is nonparametric tests. 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, a nonparametric test is used when some of these assumptions, such as normality of data, cannot be safely made. This course deals with multivariate and categorical data analysis tools such as factor analysis, discriminant analysis, and multiple analysis of variance (MANOVA). The course also aims to familiarize learners with approaches for analyzing nonparametric data, particularly the use of Kruskal-Wallis and Mann-Whitney tests for validating hypotheses. 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.
7 videos |
1h 6m
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Six Sigma Black Belt: FMEA and Other Nonstatistical Analysis Methods
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.
8 videos |
1h 30m
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Six Sigma Black Belt: Understanding DOE and Planning Experiments
Six Sigma teams concluding the Analyze phase of DMAIC with a well-understood problem, strive to generate a powerful solution in the Improve phase. 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. This course also explores the basic elements of experiments, principles of good experimental design, and strategies for designing experiments with desired power and resolution, and resource and time constraints. The focus is on the planning stage of DOE, when teams set experimental objectives, 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. 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.
8 videos |
1h 33m
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Six Sigma Black Belt: Designing, Conducting, and Analyzing Experiments
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.
8 videos |
1h 51m
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Six Sigma Black Belt: Lean Improvement Methods and Implementation Planning
As a Lean Six Sigma improvement team moves into the Improve phase of a DMAIC project, it begins to generate a list of solutions to address process problems. Lean offers several techniques to reduce waste and cycle time, as well as improvement tools such as kaizen, theory of constraints, and overall equipment effectiveness (OEE). After appropriate methods and tools are used and solutions developed, the implementation of proposed solutions needs to be tested and verified to ensure that optimal choices are made. This course looks at some of the popular Lean methods and implementation planning in Six Sigma. It examines Lean tools used for reducing waste and cycle time, and the Japanese principles of continuous improvement - kaizen and kaizen blitz. It also looks at some other process improvement methodologies such as theory of constraints and OEE. Finally, the course examines planning for proposed solutions, including conducting pilot tests and simulations. 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.
6 videos |
1h 30m
Badge
Six Sigma Black Belt: Statistical Process Control (SPC) and Control Charts
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.
7 videos |
1h 21m
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Six Sigma Black Belt: Using Lean Control Tools and Maintaining Controls
In the final stages of the Six Sigma DMAIC methodology, 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. Apart from the statistical process control, there are a number of other Six Sigma and Lean tools to help to this end. This course introduces basic control tools commonly used in Lean Six Sigma projects. Specifically, it explores how total productive maintenance (TPM) promotes shared responsibility for maintaining process gains, and how the visual controls provide at-a-glance information about process performance. In addition, this course highlights the need to re-analyze the measurement system after improvement solutions are implemented, and provides guidelines for drawing conclusions from this. 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.
7 videos |
1h 29m
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Six Sigma Black Belt: Sustaining Improvements
As a Six Sigma project winds down, a number of activities are undertaken to hold the improvements and gains achieved from the project. For instance, lessons learned from all phases of a project are documented. Efforts are made to replicate and apply improvements to other parts of the organization. Training for process owners and staff is developed and implemented to ensure consistent execution of revised methods and to maintain them. Improved processes are regularly evaluated to identify additional improvement opportunities. And finally, leading and lagging indicators are monitored to ensure processes consistently deliver expected value to the organization. This course will explore the importance of utilizing lessons learned 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. Project documentation along with different measurement tools used for ongoing evaluation of the improved process will be discussed too. 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.
8 videos |
1h 44m
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Six Sigma Black Belt: DFSS Methodologies, Design for X, and Robust Designs
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.
9 videos |
1h 32m
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Six Sigma and Lean: Foundations and Principles
This course covers the foundations and principles of Six Sigma and Lean. You'll learn how, when used together, they can enable a system of process control and process design that will transform your business. This course includes the key Lean tools that are used in the typical Six Sigma project, and how they can be integrated into one business process improvement methodology called Lean Six Sigma.
17 videos |
1h 13m
Assessment
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Six Sigma: Team Basics, Roles, and Responsibilities
Six Sigma and Lean are business process improvement methodologies. When used together, they are called Lean Six Sigma and can become a transformational strategy that enables a system of process control and process design to supercharge your business. In this course, you'll learn about Six Sigma team roles and responsibilities. You'll also explore aspects of communication, as well as key tools used as part of more effective communication and decision-making.
15 videos |
47m
Assessment
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Six Sigma: Quality Tools
Six Sigma and Lean are business process improvement methodologies. When used together, they are called Lean Six Sigma and can become a transformational strategy that enables a system of process control and process design to supercharge your business. In this course, you'll learn about the analytical tools, charts, and diagrams that are used by Six Sigma practitioners. The course covers Pareto charts, flowcharts, run charts, cause and effect diagrams, check sheets, scatter diagrams, and histograms.
11 videos |
43m
Assessment
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Six Sigma: Metrics
Six Sigma and Lean are business process improvement methodologies. Used together, and called Lean Six Sigma, they become a transformational strategy that enables a system of process control and process design that energizes your business. This course covers common performance metrics used in Six Sigma. It covers defects per unit, defects per million opportunities, the first time yield and rolled through yield, as well as looking at the cost of low quality, and inefficient cycle and takt times.
12 videos |
44m
Assessment
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Six Sigma: Identifying Projects
Six Sigma and Lean are business process improvement methodologies that, used together, are called Lean Six Sigma. In concert, they can become a strategy for business transformation that enables a system of process control and process design that supercharge an organization. This course discusses how to capture Voice of the Customer and the Voice of the Business feedback, and how to capitalize on the information they provide. It also covers the project selection process that enables a Six Sigma team to decide which projects to pursue and what methodology to use to best effect.
14 videos |
59m
Assessment
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Six Sigma: Project Management Basics
Six Sigma and Lean are business process improvement methodologies that, when used in concert, are called Lean Six Sigma and can become a transformational strategy that enables a system of process control and process design to make your business more effective and efficient. This course covers tools that are available for use when planning and managing a Six Sigma project. It explores the work breakdown structure, Gantt chart, activity network diagrams, affinity diagrams, matrix charts, tree diagrams and tollgate reviews.
16 videos |
1h 1m
Assessment
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Basic Six Sigma Statistics
Six Sigma and Lean are business process improvement methodologies. Used together, they are called Lean Six Sigma and they can transform form a strategy that enables a system of process control and process design to make your business more effective and efficient. This course introduces you to the measure stage of a six sigma project and the basic statistical tools used for measuring its performance. The DMAIC methodology enables performance-related data to be summarized in a meaningful way by using statistical measures.
12 videos |
45m
Assessment
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Classifying and Collecting Data
This course covers business process improvement and data - specifically, how to collect it and classify it. Both of these are critical skills for process improvement. With this data, you can use Lean, Six Sigma, and Lean Six Sigma concepts and practices to measure and improve each stage of your process. This course introduces process control and the basic types of data, such as qualitative and quantitative data, as well as measurement scales. You will learn the elements of a data collection plan, and how to use data collection tools, such as surveys and checklists, to improve process design. This course is aligned to the ASQ Body of Knowledge, and is designed to assist Yellow Belt candidates toward achieving their certification.
14 videos |
1h 8m
Assessment
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Six Sigma Measurement System Analysis
Six Sigma and Lean are business process improvement methodologies. When used together, they are called Lean Six Sigma and can become a transformational process improvement strategy that enables a system of process control and process design to supercharge your business. This course covers concepts and basic methods for measurement system analysis and GR and R studies. This course is aligned to the ASQ Body of Knowledge, and is designed to assist Yellow Belt candidates toward achieving their certification.
11 videos |
46m
Assessment
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Lean Tools and FMEA
In order to conduct an effective process improvement initiative within your organization, you'll need to research the process that's currently in place. It's vital that you also implement a robust process control system. This course introduces common Lean tools that can help you when carrying out business process improvement. You'll learn how to use some common tools that Six Sigma has adapted from Lean, such as 5S and value stream mapping. You'll also explore other Lean Six Sigma techniques, such as how to conduct a Failure Modes and Effects Analysis (FMEA), which is used to identify potential failures in a process design and assess the risk they pose.
11 videos |
58m
Assessment
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Data Analysis and Root Cause Analysis in Six Sigma
A critical success factor when carrying out business process improvement is the ability to understand the vast amounts of data related to process design and process control. This course covers the data analysis and root cause analysis techniques used in Lean Six Sigma to implement process improvement. You'll explore different Lean tools, such as probability distribution charts and normal and binomial distributions. You'll also learn about other techniques used in Six Sigma, including the five whys, process maps, matrix charts, and force field analysis. This course is aligned to the ASQ Body of Knowledge, and is designed to assist Yellow Belt candidates toward achieving their certification.
12 videos |
55m
Assessment
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Six Sigma Correlation, Regression, and Hypothesis Testing
If you're planning to carry out a Lean process improvement within your organization, you'll need a strong understanding of some key Six Sigma statistical analysis tools. These analysis tools are vital for enhancing process design, as well as for creating an effective process control system. In this course, you'll learn about correlation analysis, a business process improvement technique that can help you identify relationships between variables. You'll explore regression analysis, which enables you to predict outcomes. Finally, you'll learn about the Lean Six Sigma tool of hypothesis testing, which is used to test for significant improvements in a process. This course is aligned to the ASQ Body of Knowledge, and is designed to assist Yellow Belt candidates toward achieving their certification.
13 videos |
56m
Assessment
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Six Sigma Techniques for Improvement
To carry out business process improvement successfully, it's important that you understand how to use some tools that are commonly used in Lean Six Sigma projects. This course covers common Lean tools used to improve process design and facilitate process control, including kaizen, kaizen blitz, and the plan-do-check-act (PDCA) cycle. You'll also learn how to carry out a cost-benefit analysis, which is an important tool used during the process improvement process. This course is aligned with ASQ's 2015 Six Sigma Yellow Belt Body of Knowledge.
11 videos |
1h
Assessment
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PMI PDU
Six Sigma Control Tools and Documentation
A key part of Lean process improvement is the process control phase, which aims to ensure that agreed actions for the new process design are being carried out correctly and consistently. This course covers common Lean Six Sigma control tools used in business process improvement projects such as control plans. You'll also learn about control charts, how they're developed, and how they're used to monitor process performance. Finally, you'll find out why documentation is so important to maintaining process control. This course is aligned with ASQ's 2015 Six Sigma Yellow Belt Body of Knowledge.
12 videos |
1h
Assessment
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COURSES INCLUDED
Organizational Goals and Six Sigma
Six Sigma and Lean have become standard business process improvement methodologies. Used together, they are called Lean Six Sigma and are a powerful strategy for transforming business. This course introduces key Six Sigma concepts and how to use them to connect business drivers to Six Sigma metrics. We'll also examine how key metrics and scorecards are used to improve process control and process design throughout the entire organization to achieve organizational goals. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
17 videos |
1h 17m
Assessment
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Lean Principles in Six Sigma Projects
To carry out an effective process improvement initiative within your organization, you'll likely need to use different Lean Six Sigma tools to help you research the process design and implement a robust process control system. This course covers how Lean can be used in a Six Sigma project to improve process performance. It also introduces a few common Lean tools and techniques that can help you when carrying out business process improvement, such as the theory of constraints and value stream mapping. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
17 videos |
1h 27m
Assessment
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FMEA and Design for Six Sigma
A critical success factor when carrying out business process improvement is the adoption of tried and tested methodologies that can help you during the process design phase. This course covers Design for Six Sigma (DFSS) and Failure Modes and Effects Analysis (FMEA) methodologies and concepts, compares them to Lean Six Sigma DMAIC, and explains how they can be used in Lean process improvement projects. It also covers how to prioritize process and design risks using FMEA to ensure you can maintain process control. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
14 videos |
1h 7m
Assessment
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Identifying Six Sigma Projects
Six Sigma and Lean are business process improvement methodologies which, when used together under the name Lean Six Sigma, become a powerful strategy for business process transformation. This course explores how to identify, select and analyze Six Sigma projects in terms of inputs, outputs, and stakeholders. Specifically, it will cover the process for selecting a Six Sigma project, as well as the elements of process control, process design, and benchmarking. It looks, too, at the roles of process owners and stakeholders. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
14 videos |
55m
Assessment
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Six Sigma Voice of the Customer
Six Sigma and Lean are business process improvement methodologies. When used together, called, naturally enough, Lean Six Sigma, they enable a system of process control and process design that can transform your business. In this course, you'll learn how to capture the voice of the customer to ensure the success of your Six Sigma project to meet or exceed expectations. This course covers effective concepts and tools for collecting and analyzing customer information, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
20 videos |
1h 10m
Assessment
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Six Sigma Project Management Essentials
To conduct a business process improvement initiative successfully, it's important that you understand how to use some of the most common Lean Six Sigma project management tools. This course covers Six Sigma project management essentials, such as project scope, metrics, process design, and ways to measure project performance to ensure process control. It also covers different Lean tools and techniques used in process improvement, as well as risk analysis, documentation, and project closure. This course is aligned with ASQ's 2015 Six Sigma Yellow Belt Body of Knowledge.
16 videos |
1h 5m
Assessment
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Management and Planning Tools for Six Sigma
Six Sigma and Lean Six Sigma are business process improvement methodologies which, when used together, are a powerful strategy for transforming business. Identifying probable causes for process problems early in a project allows the Six Sigma team to make decisions about process control and process design that lead to greater overall process improvements. This course explores the tools that are used by Six Sigma teams as they plan and manage projects. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
15 videos |
53m
Assessment
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Six Sigma Performance Metrics
Six Sigma and Lean Six Sigma are business process improvement methodologies. When used together, they can become transformational strategy that enables a system of process control and process design to supercharge your overall business processes. Performance metrics are key to defining and controlling Six Sigma projects. This course will explore performance metrics and how they're established for any given project. The course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
12 videos |
39m
Assessment
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Team Dynamics and Performance for Six Sigma Projects
A central component of any of Lean process improvement project is the team responsible for improving the process design. This course covers the roles and responsibilities of individuals working in Six Sigma teams when carrying out a business process improvement initiative. It also covers behaviors of Six Sigma teams, common Lean Six Sigma tools used for effective team management and process control, as well as strategies for overcoming challenges such as negative team dynamics. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
12 videos |
44m
Assessment
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Six Sigma Process Documentation and Analysis
If you're planning to carry out a Lean process improvement project, you'll need a method for documenting how the current process works. Using process documentation enables you to identify any potential gaps and to improve the process design. In this course, you'll learn about different Lean Six Sigma tools and techniques used to document, model, and analyze processes and procedures for business process improvement projects. You'll also explore the steps involved in mapping a process, and how to use the map to identify problems and maintain process control. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
9 videos |
28m
Assessment
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Six Sigma Probability and Statistical Distributions
By determining the probability that a certain event, or multiple events, will occur during your business process improvement project, you'll have a better chance of planning an effective process design. You also need to understand the characteristics of various statistical distributions, and their suitability for different types of data. This course covers different Lean Six Sigma tools and techniques for calculating probability in process improvement initiatives, including independent events, mutually exclusive events, multiplication rules, permutations, and combinations. You'll also explore different types of distribution such as normal, Poisson, binominal, chi square, student's T, and F distributions, and how they can be applied in Lean projects to ensure process control. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
16 videos |
58m
Assessment
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Six Sigma Data Classification, Sampling, and Collection
One way of ensuring a successful business process improvement project is to measure key performance indicators (KPIs). And central to evaluating these KPIs is the identification, collection, and analysis of data related to process design and process control. This course covers the different data types relevant to Lean Six Sigma projects. It also explores data classification, as well as methods for sampling and collecting data as part of a Lean process improvement initiative. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
15 videos |
46m
Assessment
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Six Sigma Statistics and Graphical Presentation
Basic graphs and tables can be used to summarize and assess business process improvement data in a meaningful way. Lean and Lean Six Sigma practitioners use descriptive statistics to tabulate and graphically represent sample data through a number of types of graphical presentation. Using analytical statistics, practitioners can then make decisions regarding process improvement, process control, and process design. This course will introduce the fundamentals of statistics, including statistical tools for describing, presenting, and analyzing data. It is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
13 videos |
40m
Assessment
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Six Sigma Measurement Systems Analysis
Adequate and accurate measurement systems are vital to the success of any data collection and analysis when striving for business process improvement. And they're critical to the overall success of any Lean or Lean Six Sigma initiatives in an organization. They can then inform decisions about process improvement, process control, and process design. This course will present measurement system analysis. Specifically, you'll explore how to address the precision and accuracy of your system. You'll also learn how to carry out various calculations and analysis, such as gauge repeatability and reproducibility study. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
13 videos |
44m
Assessment
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Six Sigma Process and Performance Capability Measurement
Organizations should regularly evaluate existing processes to make sure that they meet targets and specifications. This capability measurement in turn leads to business process improvement. By measuring and analyzing process capability and performance, organizations are able to report those Lean and Lean Six Sigma levels. This data can drive process improvement, process control, and process design. This course will present some methods you can use to measure and interpret common performance indices. It will also cover ways to verify the stability and normality of a process, as well as key considerations to measure process capability. It is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
15 videos |
47m
Assessment
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Six Sigma Exploratory Data Analysis
In the Analyze stage of the Six Sigma DMAIC process, project teams carefully analyze process output and input variables. The goal of this data analysis is to narrow down the many possible inputs identified during the Measure stage, and lead to business process improvement. The analysis is carried out using tools that help identify a few probable issues and drive process improvement, process design, and process control. In this course, you'll learn about some of the key tools used in exploratory data analysis in Lean and Lean Six Sigma, such as Multi-varied studies, Correlation analysis, and Regression models. The course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
13 videos |
37m
Assessment
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Six Sigma Hypothesis Testing Fundamentals
During the Analyze phase of a Lean or Lean Six Sigma improvement project, the team conducts a number of statistical analyses to determine the nature of variables and their interrelationships in the process under study. This can in turn lead to business process improvement. In this course, you'll learn about some of the basic concepts relating to hypothesis testing, and how it can drive process improvement, process control, and process design. You'll also explore how to carry out various types of hypothesis test design, to find and compare means. The course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
14 videos |
51m
Assessment
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Six Sigma Hypothesis Tests for Variances and Proportions
As a Lean or Lean Six Sigma project moves into the Analyze phase, team members identify possible sources of variation, underlying root causes, and areas for business process improvement. It is here where assumptions or the hypothesis about a process, product, or service are made. These are then validated using tests based on sample data. Once validated, they can drive process improvement, process control, and process design. In this course, you'll learn about some common advanced hypothesis testing techniques used for testing variances and proportions. This course covers advanced hypothesis tests used in Six Sigma, and is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
14 videos |
43m
Assessment
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Six Sigma Design of Experiments
In the Improve stage of Lean or Lean Six Sigma DMAIC, 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., the Six Sigma team gains a deeper understanding of the relationships and begins business process improvement. In this course, you'll explore the Design of Experiments (DOE) methodology. You'll learn how to interpret the results of the main effect analysis and interaction plots, and use this to drive process improvement, process control, and process design. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
12 videos |
49m
Assessment
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Six Sigma Root Cause Analysis and Waste Elimination
Getting to the source of why something has gone wrong is critical to identifying the changes necessary for business process improvement. During the Improve phase in a Lean or Lean Six Sigma project, you can use statistical methods and non-statistical methods to analyze systems and processes, looking for ways to drive process improvement, process design, and process control. In this course, you'll learn about the key concepts and tools used in Six Sigma to identify what's causing variations and defects. And you'll look at root cause analysis and tools used to prevent and eliminate waste in your processes. The course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
14 videos |
52m
Assessment
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Six Sigma Cycle-time Reduction and Kaizen Blitz
In the Improve stage of the Six Sigma DMAIC process, you will use the Lean and Lean Six Sigma tool set to find ideas to help facilitate business process improvement. That will help you resolve process problems that you've identified in an earlier stage. And this in turn will help drive process improvement, process control, and process design. In this course, you'll learn about the key tools, such as cycle-time reduction, continuous flow, setup reduction, kaizen, kaizen blitz, and other Lean tools, that lead to continuous improvement. The course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
9 videos |
36m
Assessment
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Six Sigma Statistical Process Control Basics
Ensuring a process is in control and behaving in the manner it was intended to is critical with any Lean or Lean Six Sigma improvement initiative. In the Control phase of a Six Sigma DMAIC project, teams need to control the business process improvement in order to sustain continuous gains. By applying statistical process control, you can drive process improvement and process design. This course introduces basic concepts in statistical process control, including the selection of variables and rational subgrouping. It looks at the key elements of a control plan and explores the steps for developing an effective plan. The course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
14 videos |
57m
Assessment
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Six Sigma Control Charts
Business process improvement must be monitored and controlled to ensure the gains aren't lost. This takes place in the Control phase of a Lean or Lean Six Sigma domain process. Once you analyze and approve your processes to desired levels, you need to monitor and control them over an extended period of time. This helps drive process improvement, process control, and process design. In this course, you'll learn how to choose, construct, and use a control chart, which is the most common tool used for statistical process control, or SPC. This course also explores how to interpret control charts. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
14 videos |
1h 11m
Assessment
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Six Sigma Process Control Tools
In the Control stage of the Six Sigma DMAIC methodology, you need to find ways to ensure business process improvement. Two control tools from the Lean or Lean Six Sigma toolset specifically help here. First, total productive maintenance, or TPM, is a proactive equipment maintenance program that seeks to maximize the overall effectiveness of existing processes and equipment. And then the visual workplace helps to keep workers from wasting time and effort searching for materials. In this course, you'll learn about both of these tools and how to use them to drive process improvement, process control and process design. This course is aligned with ASQ's 2015 Six Sigma Green Belt Body of Knowledge.
10 videos |
41m
Assessment
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EARN A DIGITAL BADGE WHEN YOU COMPLETE THESE COURSES
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.
Digital badges are yours to keep, forever.BOOKS INCLUDED
Book
Action-Based Quality Management: Strategy and Tools for Continuous ImprovementFeaturing case studies from the industrial and tourism sectors, this in-depth book provides an interdisciplinary perspective on the effect of total quality management on business and innovation strategies.
4h 7m
By José Álvarez-García, Marta Peris-Ortiz
Book
Five Dimensions of Quality: A Common Sense Guide to Accreditation and AccountabilityProviding a simple, straightforward model for understanding and meeting the calls for increased quality in higher education ever-present in today's culture, this book outlines five dimensions that will help you to identify ways to improve institutional quality and demonstrate that quality to constituents.
3h 34m
By Linda Suskie
Book
Project Quality Management: Why, What and How, 2nd EditionOffering a specific, step-by-step project quality management process, this book provides techniques and tools organized and explained according to their application within this quality process that can be applied immediately to improve project implementation and customer satisfaction in any project context.
3h 26m
By Kenneth H. Rose
Book
Global Supply Chain Quality Management: Product Recalls and Their ImpactPresenting detailed case studies of six extended global supply chains within three industries, this book outlines an event study methodology that can help readers determine the true financial impact of a product recall announcement, and also describes how to conduct controlled experiments to determine the effect of various recall strategies on consumers.
7h 18m
By Barbara B. Flynn, Xiande Zhao (eds)
Book
Embedded QA in ScrumAuthored by EMC Proven Professionals, Knowledge Sharing articles present ideas, expertise, unique deployments, and best practices. This article analyzes and explains how QA roles have changed in different Software Development Methodology.
17m
By Chaithra Thimmappa, Jitesh Anand, Neil O’Toole, Varun AdemaneMutugappe, Vishwanath Channaveerappa
Book
Agile Strategy Management: Techniques for Continuous Alignment and ImprovementFilled with real-world examples and case studies, this book presents success stories as well as major blunders to help you avoid many of the pitfalls that other organizations have experienced while governing their strategic initiatives.
5h 54m
By Soren Lyngso
Book
Building Quality Management Systems: Selecting the Right Methods and ToolsBeginning with an overview of Quality Management Systems (QMS) and systems thinking and the impact of QMSs on financial performance, this book introduces the authors' own time-tested methodology for designing, implementing, and enhancing your own QMS.
2h 56m
By Jose Arturo Garza-Reyes, Luis Rocha-Lona, Vikas Kumar
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BOOKS INCLUDED
Book
Practitioner's Guide for Statistics and Lean Six Sigma for Process ImprovementsProviding numerous opportunities for readers to test their understanding of the presented material, this hands-on book offers thorough coverage of the statistical topics related to effective Six Sigma and Lean Six Sigma practices.
17h 38m
By Mikel J. Harry, et al.
Book
Six Sigma +Lean Toolset: Mindset for Successful Implementation of Improvement Projects, Second EditionPresenting a comprehensive collection of all the tools necessary for project work and running workshops when improving processes, this book guides users to select the appropriate tool using questions and guides them to solve given task formulations quickly and in a sustainable way.
3h 4m
By Alexander John, Christian Staudter (eds), Olin Roenpage, Renata Meran, Stephan Lunau
Book
Six Sigma Best Practices: A Guide To Business Process Excellence For Diverse IndustriesProviding step-by-step techniques and flow diagrams for integrating Six Sigma, this comprehensive training tool presents Six Sigma concepts in common business terms as well as in applied statistics, where the benefits of the tool are better understood.
6h 16m
By Dhirendra Kumar
Book
Strength-Based Lean Six Sigma: Building Positive and Engaging Business ImprovementCombining the leading approaches to business improvement with those of organizational change, this practical guide provides fresh ideas and tools to ensure that short-term achievements in process improvement become long-term benefits.
3h 42m
By David Shaked
Book
Lean Six Sigma Logistics: Strategic Development to Operational SuccessCovering the technical issues as well as the leadership aspects of Lean Six Sigma Logistics, this book provides the vehicle to solidify strategic position, win over customers, and achieve increased profit margins.
4h 51m
By Robert Martichenko, Thomas Goldsby
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AUDIOBOOKS INCLUDED
AUDIOBOOK SUMMARY
ISO 9000 Quality Systems Handbook: Using the Standards as a Framework for Business Improvement, Sixth EditionISO 9000 Quality Systems Handbook discusses how to use the ISO family of standards as a framework for true business improvement and sustained success. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
19m 14s
By David Hoyle
AUDIOBOOKS INCLUDED
AUDIOBOOK SUMMARY
ISO 9000 Quality Systems Handbook: Using the Standards as a Framework for Business Improvement, Sixth EditionISO 9000 Quality Systems Handbook discusses how to use the ISO family of standards as a framework for true business improvement and sustained success. In this Summary, we discuss the salient points of the book based on our interpretation of its contents.
19m 14s
By David Hoyle
