Who should take the CLSSGB exam
The GAQM Certified Lean Six Sigma Green Belt certification is an internationally-recognized validation that identifies persons who earn it as possessing skilled in GAQM Certified Lean Six Sigma Green Belt. If a candidate wants significant improvement in career growth needs enhanced knowledge, skills, and talents. The GAQM Certified Lean Six Sigma Green Belt certification provides proof of this advanced knowledge and skill. If a candidate has knowledge and skills that are required to pass GAQM CLSSGB Exam then he should take this exam.
Reference: http://gaqm.org:8080/gaqm/certifications/showsubcontent?subcategoryid=38
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General Exam Domains
Mastery over Six Sigma demands expertise in various topics. Hence, CLSSGB-001 exam comprises nine domains and each one has covered the subject knowledge in detail.
- Six Sigma and Organizational Goals
The first section gives a brief introduction to Six Sigma, its values, common organizational drivers, goals, metrics, as well as Six Sigma projects.
- Project Management Basics
Some of the most crucial project management concepts are covered in the fifth exam section. It throws light on the project charter & problem statement, scope & metrics of the projects, risk analysis, project closure, and project planning tools.
- Lean Principles in the organization
The second module explains Lean principles that can be used in an organization, common lean tools & concepts, and essential value & non-value added activities. As one proceeds at the end of the domain, a detailed understanding of the theory of constraints will also be gained.
- Introduction to the Define Phase
Key process elements, ways to identify customers, techniques related to collecting and analyzing customer data, and translating customer requirements are some of the objectives of this domain.
- Lean Process Improvement
The last section is the most extensive and covers a lot of stuff like Lean understanding, the use of R-DMAIC-S model, waste types, five critical improvement concepts, Lean thinking tools, Kaizen events, and data gathering & mapping, among others. A great significance has been given to the Toyota Production House system as well.
- Collecting and Summarizing Data
This section is all about one’s understanding of data collection and its summarization in Six Sigma. Common types of data and data collection methods are well stated. Also, one can find out about useful measurement scales, processes used for data accuracy and integrity, descriptive statistics, and graphical methods as the learning in the domain proceeds.
- Process Analysis and Documentation
Get an expert-like understanding of process analysis in the seventh exam domain. Strategically, it explains the details like process modelling, inputs & outputs related to processes, probability & statistics, general probability concepts, and how to draw authentic conclusions. Besides, the central limit theorem and the sampling distribution of the mean are two other well-explained concepts.
- Design for Six Sigma (DFSS) in the organization
How to accomplish the quality function deployment, design road maps for DFSS, and what are the customary design & process failure modes? Once you complete this unit, you will extensively cover these topics and will be able to answer the above questions easily.
- Other Tools and Techniques
Learners have a good chance to learn about the design of experiments and chart building in this domain. Also, this part of the syllabus features pro-level ten questions on Six Sigma and a quick wrap up at the end.
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GAQM CLSSGB Exam Syllabus Topics:
| Section | Objectives |
| Define Phase | - Voice of the Customer (VOC)
- Project charter and problem definition
|
| Analyze Phase | - Root cause analysis techniques
- Statistical tools for analysis
|
| Control Phase | - Control plans and monitoring
- Sustaining improvements
|
| Lean Six Sigma Fundamentals | - Introduction to Lean principles
- Six Sigma methodology overview
|
| Improve Phase | - Solution development and optimization
- Implementation planning
|
| Measure Phase | - Data collection methods
- Process mapping and baseline metrics
|