CERTIFIED SIX SIGMA GREEN BELT

Six Sigma

Objectives

By the end of the Certified Six Sigma Green Belt, participants should be able to: Apply the Six Sigma Methodology with main emphasis on Define, Measure, Analyse, Improve and Control (DMAIC) approach.
The DMAIC methodology is universally recognised and it is used when a product or process is already existing and do not meet the desired quality level.

Duration

5 Saturdays | 9am – 6pm | 5 weeks | 42 hours

Who Should Attend

Engineers and other practitioners/change agents who will be assisting in Six Sigma projects; or individuals interested in progressing to achieving certification for Six Sigma Black Belts.

Entry Requirement

At least a diploma with one year working experience.

Assessment Method

Written examination – held approximately 4 weeks from end of course

Course Fees

Member: S$1,979.50
Non-Member: S$2,375.40

Registration Fee of S$17.12 and Exam & Certification Fees of $214 apply.
SDF funding & SkillsFuture applicable
All fees stated are inclusive of 7% GST

Course Content

Total Training Hours: 42 hours
  • SIX SIGMA INTRODUCTIONS  0/3

    • Lecture1.1
      What is Team Dynamic?
    • Lecture1.2
      Team structure in Six Sigma
    • Lecture1.3
      Six Sigma Tools that need teamwork
  • DEFINE PHASE  0/4

    • Lecture2.1
      Failure Mode and Effect Analysis
    • Lecture2.2
      Project Charter
    • Lecture2.3
      Pareto, Process Mapping, SIPOC
    • Lecture2.4
      Supplementary Tools
  • MEASURE PHASE  0/6

    • Lecture3.1
      Cause and Effect Analysis
    • Lecture3.2
      Basic Statistics
    • Lecture3.3
      Probability Distributions
    • Lecture3.4
      Central Limit Theorem
    • Lecture3.5
      Measurement System Analysis
    • Lecture3.6
      Process Capability Analysis
  • ANALYSE PHASE  0/6

    • Lecture4.1
      Hypothesis Testing
    • Lecture4.2
      Regression
    • Lecture4.3
      Correlation Analysis
    • Lecture4.4
      ANOVA
    • Lecture4.5
      Multi-Vari Analysis
    • Lecture4.6
      Contingency Table
  • IMPROVE PHASE  0/4

    • Lecture5.1
      Introduction to Experiment
    • Lecture5.2
      Full Factorial Design
    • Lecture5.3
      General Factorial Design
    • Lecture5.4
      Fractional Factorial Design
  • CONTROL PHASE  0/4

    • Lecture6.1
      Statistical Process Control Charts: Attribute, Variable
    • Lecture6.2
      Process Control Plans
    • Lecture6.3
      Mistake Proofing
    • Lecture6.4
      Summary

Trainer

Teo Lip Hong
Teo Lip Hong
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Wong Wai Lin
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Teo Seow
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Ho Tse Ming Alvin
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Chang Keen Weng
CSSGB