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Lean Six Sigma Green Belt Exam Preparation

Course Overview

This esteemed industry-standard methodology is a transformative force for individuals seeking to upgrade their potential. Our program, aligned with the international Body of Knowledge (BOK), serves to empower participants to drive substantial process improvements and business transformations.

Navigate through the details of the data-driven approach embedded in Lean Six Sigma, that improves the operational quality of any organizations. Learn the different phases of Define, Measure, Analyze, Improve, and Control (DMAIC), improving your skills in crafting impactful project charters and mastering quality tools. Learn the art of formulating precise problem statements and translating them into a measurable format, all while assessing your organization’s readiness for Six Sigma projects.

Who Should Attend

  • Managers
  • Supervisors
  • Professionals who wish to fully utilize the Six Sigma approach in their organizations or gain professional certification or learn how Six Sigma relates to work and business improvement.

Course Objectives

At the end of this course, participants will be able to:

  • Explain Six Sigma and its importance in driving and sustaining business improvement
  • Examine the defined stage components and generate the project charter
  • Discuss data collection and analysis stages using various tools in Minitab
  • Improve and control processes using various Six Sigma tools
  • Apply various tools usually used in a Six Sigma project (variation removal) and Lean approach (waste removal)

Course Content

Introduction and Define Phase

  • Understanding Six Sigma
  • History of Six Sigma
  • Six Sigma roles and responsibilities
  • Cost of Poor Quality (COPQ)
  • Voice of the customer / Critical to Quality (CTQ)
  • The basic Six Sigma metrics
  • Selecting projects
  • Developing the Project Charter and problem statement
  • SIPOC diagram
  • Using Pareto for scoping
  • Case study

Measure Phase

  • Introduction to Six Sigma level calculations
  • Process capability indices
  • Introduction to Minitab
  • Types of data and basic statistics
  • Data collection planning
  • Sampling of data
  • Understanding Xs  which affect process Ys
  • Measurement plan
  • Measurement Systems Analysis (MSA)
  • Advanced process capability
  • Normality Analysis (NA)

 Analyze Phase

  • The Seven Classic Quality Tools: A review
  • Statistical Process Control (SPC): Control charts
  • Selection of variables
  • Control chart selection and analysis
  • Process mapping
  • Qualitative Analysis (QA)
  • Failure Mode Effect Analysis (FMEA)

Improve and Control Phases

  • Introduction to graphing
  • Scatter plots
  • Process Modeling Regression
  • Advanced Process Modeling
  • Designing experiments
  • Six Sigma control plans
  • Evaluating and selecting solutions
  • Introduction to hypothesis testing
  • Pilot testing
  • Project closeout and handover

Lean Thinking and Six Sigma

  • Defining Lean
  • Lean thinking principles
  • Types of waste (MUDA)
  • Lean versus Six Sigma
  • Lean toolbox
  • The visual factory and 5S
  • Mistake proofing – Poka Yoke

Table of Contents

Course Code DU0708 Category

Language: English or Arabic

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