Introduction

ho should attend:

Individuals from all organization departments including finance, quality and business operations staff functions as well as those who have direct intervention as process owners or stakeholders. 

Objectives

• Practice the Six Sigma methodology and apply the roadmap.
• Apply the principles of the Six Sigma DMAIC performance improvement model.
• Set up and execute process-level improvement projects.
• Collect and analyze process data and develop process maps.
• Employ statistical analysis using statistical tools and software.

Content

Six Sigma Overview

• History and Origins
• Why Six Sigma?
• Cost of Poor Quality
• Project Details

Define Phase: Tools and Methods

• Charter the Improvement Project
• Define the Scope
• Six Sigma Project Definition
• Project Selection Process
• Define the Voice of Customer (VOC) and CTQ
• Kano Model Analysis
• Team Development Phases
• Communication Plan
• Project Planning and Management

Measure Phase: Introduction and Tools

• Computing DPMO and Sigma
• Process Mapping
• FMEAs and Cause and Effect
• Graphical Analysis
• Analysis of Variance and Multi Plot Diagrams
• Histograms
• Measurement Systems Analysis: Gauge R&R
• Sampling Techniques
• Introduction to Minitab and QIMacro Software

Analyze Phase: Introduction and Tools

• Probability and Basic Statistics
• Control Charts and Stability
• Data Normality
• Process Capability, Cp and CpK
• Types of Data

Improve Phase: Introduction and Tools

• Piloting and Implementation
• Introduction to Lean Enterprise
• Types of Waste
• Lean Tools
• 5S Program
• Value Stream Mapping
• Lean – Kaizen

Control Phase: Introduction and Tools

• Statistical Process Control
• Standardization and Documentation
• Control Plans
• Mistake Proofing

Green Belt Project/ Tollgate Review