Six Sigma

Course Description

This course covers the core 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 be able 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
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
The Six Sigma Methodology

Session 2 – Statistics Boot Camp

Statistics, Data, and Variation
Inferential Statistics
Probability Distributions

Session 3 – Six Sigma Quality

3.4 DPMO
Capability Index: Cp and Cpk

Session 4 – Process and Product Improvement

Process Improvement: DMAIC
Design for Six Sigma: DMADV

Session 5 – DMAIC: Define

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

Session 6 – Six Sigma Measures and Basic Tools

Six Sigma Measures
Standard Deviation Estimates
Basic Tools for Management, Planning, and Quality Control

Session 7 – DMAIC: Measure

Control Charts
Measurement Systems Analysis (MSA)
Failure Mode and Effects Analysis (FMEA)

Session 8 – DMAIC: Analyze

Data Visualization
Hypothesis Tests
Causal Analysis: Correlation & Regression

Session 9 – DMAIC: Improve & Control

Design of Experiments
DMAIC Project Simulation
Control Phase

Session 10 – Project Implementation and Sustainability

Challenges, Guidelines, and Six Sigma Culture

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