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Become a Six Sigma Green Belt with our comprehensive training programme. This course is designed to equip you with the skills and knowledge needed to address business problems effectively. You’ll learn how to apply the Six Sigma DMAIC methodology and related quality tools to achieve sustainable improvements.

Learning Outcome

Upon completion of this course, participants will be developed to become effective Project Leader by applying:

  • A structured problem solving methodology (DMAIC) for business process improvement
  • A set of basic and intermediate Tools (Quality & Statistical) in problem solving/project accomplishment

Methodology

The methods used here are the combination of lectures, interactive discussion, demo and exercises (individual/group) that mainly focus on a real project case study.

Pre-requisite

A basic technical background or 1-2 years of working experience in any business operation discipline.

Duration
5 Days

Target Group (who should attend)

Executives, Engineers and Managers from any organisations including Core Operation/Support/Transactional group either in manufacturing or service industries.

Day 1

  • Define
  • Introduction
        • Six Sigma Overview
        • What is Six Sigma?
        • How Six Sigma DMAIC Work?
  • Focus Area for Improvement
        • Voice of Customer (VoC) Analysis
  • Project Charter
        • Elements of Project Charter
        • Guidelines for Drafting Effective Project Charter
  • Process Mapping
      • Process Characteristics
      • Process Mappings Techniques & Steps

Day 2

  • Measure
  • Determine Variables to Measure
        • Input, Process & Output Variable Identification
        • Operational Definition
        • Data Collection Plan
  • Basic Data Analysis
        • Introduction to Process Variation Management
        • Basic Statistics
  • Measurement System Analysis (MSA)
        • Overview of MSA
        • Gage Repeatability & Reproducibility (GR&R) and Attribute Agreement Analysis (AAA)
        • Acceptance Criteria, Steps & Analysis
  • Baseline Performance Establishment
      • Process Capability Analysis for Attribute and Variable Data

Day 3

  • Analyse
  • Potential Root Causes Identification
        • Basic Quality Tools Analysis
        • Source of Variation (SoV) Analysis
  • Root Causes Validation
      • Hypothesis Testing Concept
      • Hypothesis Testing Tools, Steps, Analysis & Conclusion
      • Correlation & Regression Analysis

Day 4

  • Improve 
  • Solutions Generation & Selection
        • Solution Generation Techniques & Prioritisation
  • Pilot Run Plan & Change Management
      • Pilot Run Process & Evaluation
      • Change Management
    • Potential Risk Management
      • Overview of Failure Mode & Effect Analysis (FMEA)
      • Guidelines for FMEA Preparation & Close-loop

Day 5

  • Control
  • Control Plan
      • Elements of Control Plan
      • Guidelines for Drafting a Control Plan