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Certified Lean Six Sigma Black Belt

Certified Lean Six Sigma Black Belt

The Certified Lean Six Sigma Black course is an advanced professional certification program that teaches individuals how to lead and execute Lean Six Sigma projects in their organizations. The course covers topics such as statistical analysis, process control, hypothesis testing, project management, and leadership. The course aims to equip individuals with the skills and knowledge required to identify and solve complex business problems, drive continuous improvement, and deliver significant cost savings and quality improvements.

What You will Learn

Course Format

Course Duration

Course Content

Chapter 1 introduces the instructor, overviews the main objectives for the course, including an outline of the chapters. This chapter then defines Lean /Six Sigma including history, focus, characteristics, the problem-solving formula, and key goals. Chapter 1 also discusses benefits of Six Sigma (centering the process and reducing variability), introduces the DMAIC Methodology, and the primary deliverables. The Voice of the Customer (qualitative and quantitative attributes and an example) are introduced next, followed with use of the Kano Analysis. Chapter 1 also introduces Pairwise Analysis, transitivity of preferences (transitivity economics) with the associated Arrow’s paradox, and the Pairwise matrix with examples.

Chapter 2 dives deeper into the Define Phase towards more understanding of the process, translation of the VOC into Critical to Quality (CTQ) parameters critical to quality indicators. This chapter then discusses the Cost of Poor Quality, the Pareto Principles, and Six Sigma Metrics (for measure).

Chapter 3 introduces Project Chartering including the charter itself, the structure, and various selection criteria for the project. Chapter 3 also defines key questions to ask of stakeholders and leadership for project selection, reviews SMART Goals in relation to selected projects, and helps to identify projects, both ones with potential and ones to avoid. The Define Phase also identifies the role of leadership in terms of strategy, vision, budget, resources and implementation organizationally.

Chapter 4 discusses the Lean methodology how it runs parallel to Six Sigma but is used in tandem with it in different ways across all phases. This chapter starts with the history of Lean (Toyota Production Systems), details the 5 Principles of Lean Thinking, discusses the Value of Time (WIP and Cycle Time) and adds in bottleneck analysis and system cycle time. Chapter 4 then reviews the 8 Deadly Wastes and introduces Kaizen and its rules (including when to use and not to use). This chapter also includes 5S, Poke-Yoke, and Kanban Systems (Single-Bin, Side-by-Side, and Two-Bin Systems), then moves into the Standard of Work, Standard Operating Procedures (SOPs), Job Instructions (JIs) and the Skills Matrix.

Chapter 5 defines the purpose of the Measure Phase, the second phase of the DMAIC Methodology. It also introduces Process Mapping, Value-Stream Mapping, Cause-andEffect Diagrams (for root cause identification), and Failure Mode and Effects Analysis (FMEA).

Chapter 5 defines the purpose of the Measure Phase, the second phase of the DMAIC Methodology. It also introduces Process Mapping, Value-Stream Mapping, Cause-and Effect Diagrams (for root cause identification), and Failure Mode and Effects Analysis (FMEA).

Chapter 6 discusses Descriptive Statistics, Normal Distributions and Normality, and Graphic Tools and Visual Display of Data.

Chapter 7 explores the purpose and need for running the Measurement Systems Analysis and the different types of data that may be encountered. This chapter identifies and explains the two key types of MSAs; the Attribute Agreement Assessment, and the Gage R & R.

Chapter 8 defines the purpose of Process Capability Analysis and identifies the key outputs. This chapter reviews Specification Limits, Cpk (Short-term Process Capability) and Ppk (Long-Term Process Performance), and shares Process Capability Analysis Examples.

Chapter 9 defines the purpose of the Analysis Phase, identifies, and describes the use of the graphical tools, and introduces hypothesis testing for statistical data analysis including the use of the hypothesis test selection rubric.

Chapter 10 discusses sources and patterns of variation, including the main types of variation, analyzing variation using Multi-Vari Analysis methods, and the different distribution classes.

Chapter 11 overviews what inferential statistics are and describes how they are used and introduces data sampling including the data attributes, the amount of data you should be collecting (minimum sample size), and how to collect it (continuous and discreet). This chapter then discusses the Central Limit Theorem and how it works across different data and populations.

Chapter 12 introduces the various forms of hypothesis testing in the Analyze Phase and discusses the differences between Alpha and Beta risk. This chapter then details each type of hypothesis test (with examples) and then discusses the concept of practical VS statistical significance.

Chapter 13 discusses the hypothesis tests available if data is normal (as a result of a normality test). This chapter reviews the 1-Sample T-Test, 2-Sample T-Test, the ANOVA, and the Test for Equal Variance.

Chapter 14 discusses the hypothesis tests available if data is NOT normal. This chapter details the Mood’s Median, the Mann-Whitney, the Kruskal-Wallace, and the ChiSquare hypothesis tests. Chapter 14 also overviews the 1-Sample Sign Test, the 1- Sample Wilcoxon Test, and the Friedman Test.

Chapter 15 defines the purpose of the Improve Phase and understanding and assessing the nature of the Vital X’s including determining operating parameters and critical elements and determining and selecting improvement strategies. This chapter reviews prioritizing solutions to identify the most impactful in changing performance of the Vital X’s and introduces piloting to experiment and attain a proof of concept.

Chapter 16 provides an overview of what it means to perform a regression analysis and describes the use of the graphical tools (Scatterplots). This chapter discusses Correlation Theory, performing Linear Regression, and using Regression Equations and Residuals. Chapter 16 details advanced forms of regression including Multi-Variate Regression, and Non-linear Regression, as well as using Data Transformation to change
the regression approach/model.

Chapter 17 explores the concept of planning an experiment including an introduction to Design of Experiments (DOE) and overviews of the two critical aspects of DOE; Full Factorial DOE and Fractional Factorial DOE. This chapter covers DOE classifications, terminologies, replication and repetition, errors (random or systemic), annotation, elements, and the DOE checklist. Chapter 17 also describes Effects and how to interpret them and provides examples for many of the topics discussed.

Chapter 18 defines the purpose of the Control Phase and the necessity of performing a Cost Benefit Analysis including using Classifications and completing Break-Even Analysis. This chapter discusses Control and Response Planning which also allows for successfully closing the project, and reviews two Control Plan examples.

Chapter 18 overviews Statistical Process Control including exploring the various SPC types including I-MR, X-Bar – R, X-Bar—S, C—Chart, U—Chart, NP—Chart, and P— Chart. This chapter introduces Cumulative Sum (CuSum) and EMWA charts and how to interpret the profiles of the outputs of SPCs via Nelson’s Rules.

Chapter 20 discusses the completion of the control phase and its necessary documentation. This chapter then reviews transitioning the project to the project owners and how this project and its information can translate to other projects and where lessons learned can be translated and used in the methodology. Chapter 20 also outlines team disbanding and then completes with a DMAIC recap.

Chapter 21 reviews the overall tollgate process and then details the tollgate process for each of the 5 Phases of DMAIC: Define, Measure, Analyze, Improve, and Control. This chapter also discusses Minitab, a statistical software package that can be used with Six Sigma across the belts and for anyone else interested in analyzing data.

Chapter 19 looks to the future and discusses the implications of the Six Sigma methodology and how it will relate with emerging technologies from Industry 4.0. This chapter considers the alliance forming between Six Sigma and Industry 4.0 organizations to gain competitive advantage and become stronger in the realm of
continuous improvement. Chapter 19 also reviews industry examples.

Chapter 20 describes the role of change management when applying Six Sigma and discusses why organizations need to change. This chapter introduces John Kotter and the 8-Stage Model, as well as the Change Formula. This chapter closes the courses for the green belt level of knowledge.

Career & Certification

Certified Lean Six Sigma Black Belt Course

The Certified Lean Six Sigma Black Belt Certification is a professional credential that demonstrates an individual’s advanced knowledge and proficiency in applying Lean Six Sigma methodologies to improve business processes. It validates an individual’s ability to lead and execute complex Lean Six Sigma projects, identify root causes of business problems, and deliver significant cost savings and quality improvements.

  • Quality Manager
  • Process Improvement Manager
  • Business Process Analyst
  • Continuous Improvement Manager
  • Operations Manager
  • Supply Chain Manager
  • Manufacturing Engineer
  • Business Performance Analyst

The Bureau of Labor Statistics (BLS) job outlook for Project Managers varies by industry and specific role. Overall, the employment of project managers is projected to grow faster than the average for all occupations, with an expected job growth rate of 8 percent from 2020 to 2030. The demand for project managers is driven by the need for organizations to complete projects on time, within budget, and with high quality.

According to BLS data, the median annual wage for project managers was $76,240 in May 2020, with the highest 10 percent earning more than $138,230. However, the actual salary for a project manager can vary significantly depending on factors such as industry, experience, location, and specific job responsibilities.

What to Expect from a Career Academy Course

On-Demand Lectures

Online On-Demand lectures by top instructors who are industry subject matter experts. Learn from your computer, tablet as well as mobile devices.

Academic Coaching

You will be assigned an academic coach to guide you through the coursework when you enroll. Your academic coach is available via Zoom live, Text and Emails during both weekdays and weekends.

Instructor Support

Meeting with our instructors and subject matter experts one on one during both weekdays and weekends via flex schedules of live Zoom mentoring sessions.

Total Flexibility

Flexible online coaching and live mentoring combined with on-demand training gives you ultimate control of your learning experience.

Simulation Software

Our simulation software is used by students to develop practical skills and knowledge relative to program they are taking.

Certification Preparation

Our award-winning test prep engine provides you with the most relevant test questions to fully prepare you for the cert exam

Total Flexibility

Flexible online coaching and live mentoring combined with on-demand training gives you ultimate control of your learning experience.

Hands-on Labs

Reinforce your knowledge by accessing REAL equipment online with no restrictions and full administrator privileges, live in real time.

Certification Preparation

Our award-winning test prep engine provides you with the most relevant test questions to fully prepare you for the cert exam

Total Flexibility

Flexible online coaching and live mentoring combined with on-demand training gives you ultimate control of your learning experience.

Earn Contact Hours/PDUs

With our Programs and Courses you have the ability to earn Contact Hours or PDU’s that are applicable to your industry.

Certification Preparation

Our award-winning test prep engine provides you with the most relevant test questions to fully prepare you for the cert exam

Total Flexibility

Flexible online coaching and live mentoring combined with on-demand training gives you ultimate control of your learning experience.

12 Month Access

You will have up to 12 month access to your course to help you further prepare for your certification after completion.

Certification Preparation

Our award-winning test prep engine provides you with the most relevant test questions to fully prepare you for the cert exam

Accelerate Your Career With Online Managed Learning

From the moment you reach out to Career Academy, our education consultants will work with you to find scholarship opportunities and the best funding options available.

Live Virtual Classroom

Enjoy a learning environment that allows for live interaction as you are progressing through your training and hands-on labs.

Total Flexibility

Flexible live online class schedule combined with on-demand training gives you ultimate control of your learning experience.

Elite Online Instructors

Our live instructors guide you through the training and assist you with your hands-on labs during the virtual classroom sessions.

Enlist in Your Career Success Today!

Discover New Opportunities with the Credentialing Assistance Program

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