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How to book the CLSSBB Exam

These are following steps for registering the GAQM CLSSBB exam. Step 1: Visit to Proctoru Registration Step 2: Signup/Login to Proctoru account Step 3: Select Date, time and confirm with payment method

Reference: http://gaqm.org:8080/gaqm/certifications/showsubcontent?subcategoryid=39

How Does the Exam Look Like?

CLSSBB-001 contains 150 multiple choice questions to testify the candidate’s understanding of Lean Six Sigma. The time duration provided is 3 hours. To come up with flying colors, securing 75% marks is necessary.

This is a closed book exam that individuals can take-up from the comfort of their homes as it is delivered via online proctored mode. Referring to any study material is restricted during the testing process, and getting caught in any such activity will lead to exam cancellation. But, all the efforts are worthwhile: the score comes with lifetime validity. Also, apart from leading to the CLSSBB certification, success in the CLSSBB-001 test bags 60 learning hours and 3 credits towards the MBA in Six Sigma program provided by Charisma University.

GAQM CLSSBB Exam Overview:

What Is General Exam and Course Outline?

CLSSBB-001 is based on six domains. Each of them throws light on a specific Six Sigma aspect and teaches about it in detail. Completing the section leads to in-depth cognizance of the subject matter covered by it and ensures better hold over important technologies. The content of the test and the vendor-provided course emphasizes the same modules with several subtopics, and these are as follows:

• Measure

  The main point of attraction of this domain is the measure. It cleverly explores the areas associated with Measure Phase objectives, Data Scales, various kinds of data and data distribution model, Central Tendency and Dispersion measures, stability check, GAGE RR variables, attribute RR, and capability check.

  Still, that’s not the end of learning in this domain. Variability, capability, variations, and key graphical tools for data distribution are well-covered too. In addition, the candidates must not forget about the Weibull distribution, correlating calculations for business measures, and normality of data.

• Pre-define DMAIC & Define

  This section is divided into two parts: Pre-define DMAIC and Define. Each of them includes a wide list of topics. For instance, the first one is focused on the differences between DMAIC and DFSS, pre-define qualifications, project prioritization matrix, NPV & IRR, Enterprise-Wide View, and LOB view.

  On the other hand, the next part is all about defining the key Six Sigma processes and methodologies. Learners can find out details associated with Champion’s transfer of project, team dynamics, related facilitation, Project Charter’s role, SIPOC/COPIS map, Kano model, Business Metrics use for Y, Y’s baseline performance, CTQ, Rolled Throughput Yield, Statistical Definition of Six Sigma, and Quality function development.

• Organizational Roadblocks and Lean Management

  The purpose of organizational roadblocks, use cases of resistance analysis, Lean overview, Six Sigma basics, and continuous improvement approaches are what one should grasp in this domain. The learning periphery extends with a comprehensive understanding of key Lean Management concepts like TAKT Time, SWIP, Cycle Time, PCE, Setup time, Changeover time, along with 5S, SMED, Kaizen, and Heijunka tools.

• Control

  To succeed in the exam tasks under this section, applicants should know what Taguchi’s loss function is, be familiar with control charts, control plan, measurement system re-analysis, Total Productive Maintenance, and the project closure.

  Once completed all the above topics, the candidates should proceed to the next, separate domain called Lean Process Improvement. This area helps to better understand what Lean is, five critical improvement concepts, how the Toyota production system is built, the types of waste, how to create a Lean Enterprise, what are Kaizen events, and data gathering & mapping, among others.

• Improve

  In the fifth exam domain, one should demonstrate a superior perception of topics like cost benefit analysis, pugh matrix, design of experiments, DOE basis, screened designs, fractional factorial experiments, Response surface designs, and DOE with example & regression. Other concepts to be mastered involve blocking, randomization, replication, interaction effects, and others.

• Analyze

  The objectives under this domain include simple, curvilinear, and multiple linear regression, fishbone diagram, Pareto charts, statistical validation, and hypothesis tests. Demarcating common & special causes is another key topic discussed here.

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