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Course overview
This certification Six Sigma course incorporates reality-based examples to explain concepts. It provides in-depth knowledge of all aspects within the phases of D-M-A-I-C (Define Measure Analyze Improve Control), six sigma tools and standard principles of Lean Management with real life applications on various industry used cases.
What is Six Sigma?
Six Sigma is a set of techniques and tools for process improvement. It was introduced by engineer Bill Smith while working at Motorola in 1986. Jack Welch made it central to his business strategy at General Electric in 1995. Today it is used in many industrial sectors.
Six Sigma seeks to improve the quality of the output of a process by identifying and removing the causes of defects and minimizing variability in manufacturing and business processes. It uses a set of quality management methods, mainly empirical, statistical methods, and creates a special infrastructure of people within the organization, who are experts in these methods. Each Six Sigma project carried out within an organization follows a defined sequence of steps and has specific value targets, for example: reduce process cycle time, reduce pollution, reduce costs, increase customer satisfaction, and increase profits.
The term Six Sigma originated from terminology associated with statistical modelling of manufacturing processes. The maturity of a manufacturing process can be described by a sigma rating indicating its yield or the percentage of defect-free products it creates. A six sigma process is one in which 99.99966% of all opportunities to produce some feature of a part are statistically expected to be free of defects (3.4 defective features per million opportunities). Motorola set a goal of “six sigma” for all of its manufacturing operations, and this goal became a by-word for the management and engineering practices used to achieve it.
What you'll learn
- Become a key stakeholder in leading, and implementing lean six sigma projects in your organisation
- Understand Six Sigma and DMAIC Methodology
- Describe how to identify an improvement project in the Define phase
- Explain how to measure process and product in the Measure phase
- Perform data analysis and hypothesis testing in the Analyse phase
- Identify the possible improvement actions for the performance of variations in the Improve phase
- Define efficient operating levels for inputs and outputs in the Control phase
- Identify the voice of customers, their requirement & needs
- Understand their role in the success deployment
- Understand how to develop a strategy for Six Sigma approach
- Apply the DMAIC process to business issues
Recognition
Study method
- Online
- Blended
- In-class
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Duration study load
- Total duration: 136 hours
- 9 months of access to course material
Course features
- Video based course material: Fully narrated by the tutor, this includes hundreds of illustrations, graphics, charts, diagrams, and added animations to illustrate learning concepts.
- Study e-book: Certified Lean Six Sigma Green Belt eBook
- DMAIC case studies: We have developed illustrated PDF case studies covering one topic from each DMAIC phase to help solidify your knowledge of the six sigma methodology.
- Video based project case study: This is a narrated case study focusing on the application of DMAIC tools and concepts in a commercial setting.
Assessment
- Interactive knowledge checks: As the name suggests, these are interactive knowledge checks – using drag and drop functionality. It’s a fun and easy way to help you grasp DMAIC.
- Interactive DMAIC simulation: This is an animated and narrated simulation of a six sigma project. You are prompted to choose the correct course of action throughout your project journey.
- Interactive quizzes: Test your knowledge after each DMAIC phase with this multiple choice set of quizzes.
- Practice test papers: These downloadable practice test papers will help prepare you for the final exam.
- IASSC Exam: The exam fee is covered in the course price.
- Exam insurance included: Fail the first attempt, get a second resit as part of this course.
About the Exam
The IASSC Certified Lean Six Sigma Green Belt exam is a 100-question, closed book, proctored exam with a 3-hour allotted time. Some forms of this exam may also include up to an additional 10 non-graded questions. The exam contains approximately 20 multiple-choice and true/false questions from each major section of the IASSC Lean Six Sigma Green Belt Body of Knowledge.
In order to achieve the professional designation of IASSC Certified Green Belt (IASSC-CGB™) from the International Association for Six Sigma Certification, candidates must sit for the IASSC Certified Lean Six Sigma Green Belt Exam and achieve a minimum score of 70%.
Exam Retake
If you don’t feel you have an aptitude for exams, we give you the opportunity to retake the exam in the event you fail on your first attempt. As per the IASSCs rules, you must wait a minimum of two weeks before attempting your retake. This is to allow you sufficient time to revise for the second attempt. The exam retake must be taken within 9 months from time of enrolment.
Who's it for?
Lean Six Sigma Green Belt is most beneficial for organisations that encourage employees to take up quality projects and ensure efficiency in all business/industry processes. This certification is most suited for:
- Quality and process managers, system managers, analysts, auditors, engineers and executives who need to have a better understanding of Six Sigma and the application of Six Sigma in process/quality improvements
- Production managers, production supervisors, and customer service managers
- Persons wanting an initial introduction to Six Sigma thinking and techniques
- Consultants who want to incorporate Six Sigma Green Belt into their service offerings
- Professionals working in the support functions like finance, purchase, sales, marketing, training, recruitment, operations, IT support, travel, etc.
Subjects
- DEFINE – Phase Intro
- 1.00 DEFINE – Course Structure
- 1.01 DEFINE – Introduction to Six Sigma
- 1.02 DEFINE – Steps & Tools
- 1.03 DEFINE – The Cost of Poor Quality
- 1.04 DEFINE – Six Sigma Metrics
- 1.05 DEFINE – Lean
- 1.06 DEFINE – Project Charter
- 1.07 DEFINE – Phase Summary
- 1.08 DEFINE – Case Study: Building a Business Case
- 1.10 DEFINE – Case Study: Pareto Chart Applications
- 1.11 DEFINE – Knowledge Check 1 (4 tasks)
- 1.13 DEFINE – Knowledge Check 2 (4 tasks)
- 1.12 DEFINE – Knowledge Check 3 (1 task)
- 1.14 DEFINE – Knowledge Check 4 (1 task)
- 1.15 DEFINE – Quiz
- MEASURE – Phase Intro
- 2.00 MEASURE – Course Structure
- 2.01 MEASURE – Process Mapping Overview
- 2.02 MEASURE – Types of Process Map
- 2.03 MEASURE – Inputs to the Process
- 2.04 MEASURE – Cause & Effect Diagrams
- 2.05 MEASURE – X-Y Matrix
- 2.06 MEASURE – FMEA
- 2.07 MEASURE – Basic Statistics – Part 1
- 2.08 MEASURE – Basic Statistics – Part 2
- 2.09 MEASURE – Graphs
- 2.10 MEASURE – Measurement Systems Analysis (MSA) Overview
- 2.11 MEASURE – Measurement Systems Analysis – Continuous Data
- 2.12 MEASURE – Measurement Systems Analysis – Quantitative Data
- 2.13 MEASURE – Stability
- 2.14 MEASURE – Capability Analysis
- 2.14 (a) MEASURE – Calculating Capability Statistics (by Tamela Serensits – Master of Applied Statistics M.A.S)
- 2.15 MEASURE – Capability Analysis – Non-Normal Data
- 2.16 MEASURE – Phase Summary
- 2.17 MEASURE – Case Study: Measurement System Analysis
- 2.18 MEASURE – Knowledge Check 1 (4 tasks)
- 2.20 MEASURE – Knowledge Check 2 (4 tasks)
- 2.19 MEASURE – Knowledge Check 3 (1 task)
- 2.21 MEASURE – Knowledge Check 4 (1 task)
- 2.22 MEASURE – Quiz
- ANALYSE – Phase Intro
- 3.00 ANALYSE – Course Structure
- 3.01 ANALYSE – Overview
- 3.02 ANALYSE – Multi-vari Analysis
- 3.03 ANALYSE – Classes of Distributions
- 3.04 ANALYSE – Hypothesis Testing
- 3.05 ANALYSE – Sample Variance & Population Variance
- 3.06 ANALYSE – Continuous Output Data – Comparing Two Samples
- 3.07 ANALYSE – Continuous Output Data – Comparing More than Two Samples
- 3.08 ANALYSE – Continuous Output Data – Testing a Sample Against a Standard
- 3.11 ANALYSE – Phase Summary
- 3.12 ANALYSE – Case Study: The Box Plot
- 3.13 ANALYSE – Knowledge Check 1 (4 tasks)
- 3.15 ANALYSE – Knowledge Check 2 (4 tasks)
- 3.14 ANALYSE – Knowledge Check 3 (1 task)
- 3.16 ANALYSE – Knowledge Check 4 (1 task)
- 3.17 ANALYSE – Quiz
- IMPROVE – Phase Intro
- 4.00 IMPROVE – Course Structure
- 4.01 IMPROVE – Regression Analysis
- 4.02 IMPROVE – Multiple Regression
- 4.03 IMPROVE – Design of Experiments
- 4.04 IMPROVE – Full and Fractional Factorials
- 4.05 IMPROVE – Concept Generation
- 4.06 IMPROVE – Implementation
- 4.07 IMPROVE – Phase Summary
- 4.08 IMPROVE – Case Study: Regression Analysis
- 4.09 IMPROVE – Knowledge Check 1 (4 tasks)
- 4.11 IMPROVE – Knowledge Check 2 (4 tasks)
- 4.10 IMPROVE – Knowledge Check 3 (1 task)
- 4.12 IMPROVE – Knowledge Check 4 (1 task)
- 4.13 IMPROVE – Quiz
- CONTROL – Phase Intro
- 5.00 CONTROL – Course Structure and Overview
- 5.01 CONTROL – Final Capability, Lean Controls
- 5.02 CONTROL – Control Plans
- 5.03 CONTROL – Center Line & Control Limit Calculation, Control Plans
- 5.04 CONTROL – Phase Summary
- 5.05 CONTROL – Case Study: The Control Plan
- 5.06 CONTROL – Knowledge Check 1 (4 tasks)
- 5.08 CONTROL – Knowledge Check 2 (4 tasks)
- 5.07 CONTROL – Knowledge Check 3 (1 task)
- 5.09 CONTROL – Knowledge Check 4 (1 task)
- 5.10 CONTROL – Quiz
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