Lean Six Sigma Black Belt Training and Certification equips you with “Advanced Practitioner Level” perspectives and skills in process variability reduction (DMAIC), process waste reduction (LEAN) and a comprehensive toolkit to plan and lead change in your organization.
This course builds upon your Green Belt knowledge to expand your Lean Six Sigma expertise, strengthen your knowledge and skill sets, and gives you the confidence you need to take that next step as a continuous improvement professional and return back to your organization with a greater level of analytical, project implementation and change leadership skills.
You walk away with the learning and the know-how. This means not just focus on the “what” to do but the “how” to do it, with greater emphasis on typical project barriers and “hints” and “tips” on “how” to overcome using case studies and compelling best practices as part of the learning experience.
Come with a change initiative
What are change initiatives?
Change initiatives are usually plans and actions aiming at implementing a process transformation in an organization that could result in a change of the culture, communication, human resource, logistics, and etc. Change initiatives come from all geographies, industries and career levels, so it’s hard to generalise.
Common examples of challenges
- Creating a company-wide culture of customer focus or digitalizing a product or service
- Motivating employees to accept changes in a continuously changing business environment
- Adopting a new organizational solution and making sure it’s fully implemented
- Setting up a new system in an overseas subsidiary – with a lot of push-back from local employees
- Facing the changes in employment/process/system due to taking over new markets or companies or being acquired by others.
Why are they important in this programme?
Having a change initiative(s) allows participants to contribute their unique experiences, personalise the tools to their own situation and make an impact back at the workplace. By the end, they have a clear set of priorities and are ready to create an action plan that can be used immediately upon their return to work.
It is not necessary but recommended that applicants have at least one change initiative, which allows them to adopt a learn by doing approach to apply learning outcomes to a real world scenario(s).
How you benefit:
- Sustain actionable knowledge. Harness information you already have into a solid understanding of how to build sustainable processes and structures to enhance your organization’s capability
- More competent as a manager. Become a more competent and confident manager with new insights, knowledge and skills.
- Elevate key skills in change leadership, analyzing data and decision making to take on greater responsibility to pinpoint and manage performance shortfalls
- Insights on where to focus attention to influence change in your organization and how to identify, scope and charter continuous improvement projects
- Master the skills you need to combine statistical and quantitative methods with the interpersonal skills required to influence, inform and drive change
- Develop coaching skills to guide team members and advise management during Lean Six Sigma implementation
- Come with a change initiative (optional) to apply the learning in your personal or your organization’s context
Participant Profile:
Black Belt Training and Certification is designed for Certified Green Belt’s from a wide variety of manufacturing, service and transactional organizations either currently involved with, or who aspire to, or have recently gained continuous improvement responsibilities;
- Seeking to develop in-depth knowledge and analytical skills in process variability reduction (DMAIC) and process waste reduction (Lean)
- Who want to strengthen their ability to lead change and enhance their organization’s continuous improvement capability
- Participants coming in groups/teams to collaborate on an Action Learning project tailored to their organization’s context
Course Pre-requisites
Lean Six Sigma Green Belt Certificate either with Game Change or another bonafide training provider
(evidence required prior to course start).
Exam and Certification
Exam: 50 Questions
Duration: 70 min.
Pass Mark: 70%
Achieve 70% pass mark in the Black Belt multiple choice final exam
Participants commit to a series of 5 x 8 hour days of intense face-to-face Accelerated learning. The training is practical, precise with no corners cut. Don’t expect an easy ride, you are there to learn and learn you will.
Our typical training class includes a mix of international participants from a wide variety of industries who bring their experiences to the classroom for in-depth and stimulating learning sessions with fellow participants and instructor’s, so you will take a collaborative approach to the subject matter.
Many of today’s leading organizations and educational institutions are benefiting from the power of Accelerated Learning. Game Change has pioneered and delivered this teaching and learning method for Lean Six Sigma face-to-face training. What makes Accelerated Learning so effective is that it’s based on the way we all naturally learn.
People learn best in context. Facts and skills learned in isolation are hard to absorb and quick to evaporate. The best learning comes from doing the work itself in a continual process of “real-world” immersion, feedback, reflection, evaluation and re-immersion.
Gain insight from world-class Master Black Belt Instructor’s and points of view from people who have faced the real world scenarios in managing the change resistance and barriers to implementation. Expert’s who practice what they preach and believe in their ability to demonstrate the “How” as well as the “What” to do, including compelling best practices and benchmarking opportunities as part of the learning experience.
Case studies and group tutorials conducted during the classroom sessions are designed to ensure you gain a practical understanding of systematically selecting and applying appropriate methods and tools.
The learning outcomes are individually assessed through the final exam on the on the last day of the course.
Curriculum and Course Format
1.0 INTRODUCTION
Understand how lean and six sigma tools are applied to improve all types of processes in all types of enterprises: manufacturing, service, transactional, product and process design, innovation, etc.
Recognize key drivers for business (profit, market share, customer satisfaction, efficiency, product differentiation) and how key metrics and scorecards are developed and impact the entire organization.
1.1 Green Belt Refresher Training
1.2 Finding and Solving Problems in your Organisation
2.0 DEFINE
Define the scope and goals of the improvement project in terms of customer and/or business requirements, the process that delivers these requirements and stakeholder needs
2.2.1 |
Process elements |
2.2.2 |
Owners and stakeholders |
2.2.3 |
Identify customers |
2.3.1 | Collect customer data |
2.3.2 | Analyze customer data |
2.3.3 | Translate customer requirements |
2.4.1 | Building a Business Case & Project Charter |
2.4.2 | Project scope |
2.4.3 | Project metrics |
2.4.4 | Project planning tools |
2.4.5 | Project documentation |
2.4.6 | Project risk analysis |
2.4.7 | Project closure |
2.6.1 | Failure mode and effects analysis (FMEA) |
2.7.1 | Team stages and dynamics |
2.7.2 | Six sigma and other team roles and responsibilities |
2.7.3 | Team tools |
2.7.4 | Communication |
3.0 MEASURE
Calculate and interpret measures of dispersion and central tendency and construct and interpret frequency distributions.
Define and apply the concepts related to sampling (e.g., representative selection, homogeneity, bias, etc.) and select and use appropriate sampling methods (e.g., random sampling, stratified sampling, systematic sampling, etc.) that ensure the integrity of data. data.
Use various analytical methods (e.g., repeatability and reproducibility (R&R), correlation, bias, linearity, precision to tolerance, percent agreement, etc.) to analyze and interpret measurement system capability for variable and attribute measurement systems. Map the process and measure, understand and baseline the current process performance and capability through a set of relevant and robust measures.
Calculate process performance metrics such as defects per unit (DPU), rolled throughput yield (RTY), cost of poor quality (COPQ), defects per million opportunities (DPMO) sigma levels and process capability indices.
3.2.1 | Normality (Central Limit Theorem, P-values, Transforming Data) |
3.2.2 | Sampling Methods (Random and Process Sampling, Determining Sample Sizes, Selecting Samples) |
3.2.3 | EWMA Chart |
3.3.1 | Precision & Accuracy |
3.3.2 | Bias, Linearity & Stability |
3.3.3 | Gauge Repeatability & Reproducibility |
3.3.4 | Variable MSA |
3.4.1 | Process modeling |
3.4.2 | Process inputs and outputs |
3.5.1 | Drawing valid statistical conclusions |
3.5.2 | Central limit theorem and sampling distribution of the mean |
3.5.3 | Basic probability concepts |
3.6.1 | Types of data and measurement scales |
3.6.2 | Data collection methods |
3.6.3 | Techniques for assuring data accuracy and integrity |
3.6.4 | Descriptive statistics |
3.6.5 | Graphical methods |
3.6.6 | Probability distributions |
3.6.7 | Measurement System Capability |
distributions
3.6.7 Measurement System Capability
3.7.1 | Process capability studies |
3.7.2 | Process performance vs. specification |
3.7.3 | Process capability indices |
3.7.4 | Process performance indices |
3.7.5 | Short-term vs. long-term capability |
3.7.6 | Process capability for attributes data |
4.0 ANALYZE
Drawing valid statistical conclusions by distinguishing between descriptive and inferential studies and population and sample statistics.
Measuring and modelling relationships between variables to set-up and run hypothesis tests and correlation and regression analysis.
4.2.1 | Classes of Distributions |
4.2.2 | Inferential Statistics |
4.2.3 | Understanding Inference |
4.2.4 | Sampling techniques & uses |
4.2.5 | Central Limit Theorem and the principal correlations |
4.2.6 | Data Transformation, Box Cox |
4.4.1 | General Concepts & Goals of Hypothesis Testing |
4.4.2 | Significance; Practical vs. Statistical |
4.4.3 | Risk; Alpha & Beta |
4.4.4 | Hypothesis Testing of Means, Variances and Proportions ( Z- , p- and t-tests) |
4.4.5 | 1 & 2 sample t-tests |
4.4.6 | 1 sample variance |
4.4.7 | Paired-comparison tests |
4.4.8 | Single-factor analysis of variance (ANOVA) |
4.4.9 | Tests of Equal Variances. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results. |
4.5.1 | Mann-Whitney |
4.5.2 | Kruskal-Wallis |
4.5.3 | Mood’s Median |
4.5.4 | Sample Sign |
4.5.5 | Sample Wilcoxon |
4.5.6 | One and Two Sample Proportion |
4.5.7 | Chi-Squared (Contingency Tables)a. Including Tests of Equal Variance, Normality Testing and Sample Size calculation, performing tests and interpreting results. |
4.6.1 | Simple linear correlation and regression |
4.6.1 | Simple linear correlation and regression |
5.0 IMPROVE
Apply divergent thinking by using creativity techniques to identify innovative solutions.
Use various tools and techniques for reducing cycle time, including continuous flow, single-minute exchange of die (SMED), etc.
How to make data driven project decisions Build High Performing Teams for project success How to Manage Resistance to Change
5.2.1 | Pull: Takt Time and Line Balancing, Kanban, Supermarket |
5.2.2 | Flow: Batch Reduction, Parallel Processing, Standard Work & Multi skilling, Modular Design, Layout & Cells, Quick Changeover (SMED), Level Scheduling |
5.2.3 | Steps to Perfection, Operational Equipment Effectiveness (OEE), Bottlenecks, Total Productive/Preventative Maintenance (TPM) |
5.2.4 | Assumption Busting the status quo |
6.0 CONTROL
Application of Six Sigma Design for Six Sigma (DFSS) Methodology to drive growth through innovation. Application of statistical process control (SPC) including control chart selection for monitoring and controlling process performance, tracking trends, runs and identifying special and common causes using rules for determining statistical control. Develop a Control Plan to emmbed Process Management principles
6.4.1 | Objectives and benefits |
6.4.2 | Rational subgrouping |
6.5.1 | −R, |
6.5.2 | −s, individuals and moving range (ImR / XmR), median |
6.5.3 | p, np, c, and u chart |
6.5.4 | Analysis of control charts |
Quizzes Segmented and embedded during and at the end of each DMAIC Phase
Final Exam Lean Six Sigma Black Belt Certification
Next Course Dates
E-Learning Modules
14 Hours
Face-to-Face Classroom Training 5 Day x 8 Hours
40 Hours
United Kingdom
9th – 13th Dec – 2024
Portugal
This blended course is run jointly with Instituto Superior Técnico and Erising.
Session 1
(2 Day Face-to-Face or Remote) – 11th and 12th NovDaily Timing: 09 – 17:00
Venue: Instituto Superior TécnicoSession 2 (Remote) – Mon 18th Nov
Session 3 (Remote) – Mon 25th Nov
Session 4 (Remote) – Thu 28th Nov
Session 5 (Remote) – Thu 5th Dec
Session 6 (Remote) – Thu 12th Dec
All remote sessions timing 18 – 21:00 Hrs. (3 hrs per session)
Classroom training sessions take place in-person between 09:00 to 17:00 BST / 08.00 to 16:00 UTC
Estimated time to complete
54 Hours
Course Duration
5 Days
Course Fee (excluding VAT)
£ 2,695
What's Included
- 5 days classroom training
- Lunch and refreshments for the course duration
- Printed and eLearning course modules (12 month access)
- 12 month free access to Black Belt Bootcamp Learning Platform, Toolkit, Case Studies and Downloadable Resources
- Black Belt Online Exam and Electronic Certificate
- Unlimited Practice Exams and Re-sits free of charge
- Email Tutor support via discussion groups
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Ongoing personal and professional development. Recognition and career advancement opportunities.
Part of a strong international network. Join a community of continuous improvement professionals that will support you during and long after the course is over
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