Six Sigma - Yellow Belt

The basic knowledge and techniques you need to know about Six Sigma.

Course Description

This course covers the fundamental concepts and tools of six sigma process improvement methodology. This course includes statistical quality control, process capability index, measurement system analysis, statistical and management tools, design of experiments, and DMAIC project implementation. The trainee will learn about how to:

Describe quality level of a process statistically
Evaluate capability of a process in statistical quality control
Use control charts and other statistical tools to monitor quality events
Use statistical and management tools to identify root causes and potential solutions
Carry out DMAIC projects to continuously improve process performance

Who should attend* the course?

Company executives
Business managers and directors
Engineers and R&D Staff
Enterprise process engineers
All levels of engineering functions

* Understanding of basic statistics is recommended.

Outline (subject to change)

Session 1 - Six Sigma Overview

What is Six Sigma
Six Sigma Concepts and DMAIC Methodology

Session 2 - DMAIC: Define

From VOC to CTQ
Project Charter
Quality Function Deployment (QFD)

Session 3 - Statistics Boot Camp

Data, Variation, and Probability Distribution
Standard Deviation Estimates

Session 4 - Six Sigma Quality and Process Capability

Six Sigma Quality: 3.4 DPMO
Capability Index: Cp and Cpk

Session 5 - Useful Tools for Six Sigma Projects

Tools for Management, Planning, and Quality Control

Session 6 - DMAIC: Measure

Control Charts
Measurement Systems Analysis (MSA)

Session 7 - DMAIC: Analyze

Visual Evaluation of Data
Statistical Tests and Analysis

Session 8 - DMAIC: Improve

Design of Experiments
Project D-M-A-I

Session 9 - DMAIC: Control

Control Phase
Failure Mode and Effects Analysis (FMEA)

Session 10 - Project Implementation and Sustainment

Challenges, Guidelines, and Six Sigma Culture
Conclusion

Back to CAMLS Short Course Series