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Six Sigma for Effective Quality Management

Start Date:
10 Dec 2018
QAR 4950
Course Name: Six Sigma for Effective Quality Management
Course Information
Get practitioners up to speed quickly with a powerful three days program.
Six Sigma Quality Management program gives you the critical knowledge to lead and provide support for a variety of projects. In addition to hands-on experience with Six Sigma tools, you learn Change Leadership and facilitation skills. Plus, you are guided by some of the most experienced instructors in the industry.
This program offers an understanding of Six Sigma, the hybrid methodology that combines the infrastructure of DMAIC with the simple and effective waste-reducing tools of Lean. During this three days program, you learn how to define, scope, lead and execute DMAIC projects and Kaizen events that are suitable for a Six Sigma and time commitment. In addition, you gain hands-on experience with tools such as process mapping, project scoping, value stream mapping and analysis. You also receive change leadership and facilitator training to help you effectively manages, support and motivate your team.
Upon completion of this course, the participants will be able to:
  • Define scope and execute DMAIC (Define, Measure, Analysis, Improve, Control) projects and Kaizan events.
  • Apply Lean concepts such as 5S, waste reduction and Value Stream Mapping.
  • Apply DMAIC to solve business issues and transition projects from phase to phase.
  • Apply statistical analysis to determine the relationship between inputs and outputs.
  • Effectively manage team dynamics and understand how to work with leadership.
  • Close projects and hand over control to process owners.
  • Present projects to instructors, peers and managers
Course Facts
Duration: 3 Days

Target Audience
Anyone who wishes to lead functional area of projects or assist others with projects, No previous Six Sigma experience is required (prior statistical experience is helpful).
Program Highlights
The Six Sigma Quality Management program offers many advantages:
  • Experiential learning curriculum that helps you leave the classroom with better comprehension and retention, and an enhanced ability to apply concepts and skills in the real world.
  • Rigorous certification process means you will be a highly trained and valuable practitioner.
  • One-year access to the Wizard, an online study aid and reference portal.
Course Outline

Module1: Define Project Scope & Planning Objectives

  • Lean Six Sigma Overview
  • Lean Six Sigma Roadmap and Tools
  • Identify the Right Methodology
  • Project Definition and Scope
  • Project Objectives
  • Project Charter
  • Project communication plan
  • Defining Current State
  • Process Mapping
  • 8 Types of Waste
  • Identification of Project Value & Customer requirement
  • Value Stream Mapping
  • Introduction to Basic Statistics
  • Data Collection
  • Measurement System Analysis
  • Capability Analysis
  • Meeting Facilitation Skills
  • Project Planning
Exercise: Simulation Exercise

Module 2: Process & Data Analysis

  • Identify X’s Gap Analysis (Fishbone and C&E Matric)
  • Basic Process Analysis
  • Graphical Data Analysis (Pareto charts, Frequency charts, Run charts, scattered diagrams variation and defect analysis)
  • Statistical Data Analysis
  • FMEA
  • Generate and Evaluate Solutions
  • Pilot and Implement Solutions
  • Control Plans
  • Mistake Proofing
  • Statistical Process Control
  • Transition and Project Closure
  • Change Leadership
Exercise: Simulation Exercise
Module 3: Improvement
  • Lean Six Sigma Overview, Roadmap and Tools
  • Selecting the Right Methodology
  • Project Definition and Scope
  • Constraints & Risk Analysis
  • Developing Project Objectives & Charters and Implementation plan
  • Defining Current State
  • Process and Value Stream Mapping
  • The 8 Types of Waste
  • Identification of Appropriate documents and statistical control
  • Sigma XL and Basic Statistics control charts
  • Measurement System Analysis
  • Meeting Facilitation Skills
  • Applied Experimentation
  • Statistical Process Control
  • Mistake Proofing
  • Control Methods
  • Project Closure and Synergy
  • Class Project
  • Integration of Lean

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