Six Sigma on a Budget: Achieving More with Less Using the Principles of Six Sigma

by Warren Brussee

Overview

In today's economy, organizations need to improve quality, solve problems, and increase efficiencies on the fly—and Six Sigma has proven its worth to large and small companies around the world in all these areas. Written by a leading Six Sigma expert, Warren Brussee, Six Sigma on a Budget explains how you can use the principles of Six Sigma to see immediate results—all without expensive consultants or disruptive classes.

Exclusive features of Six Sigma on a Budget:

• Written in plain English, it delivers huge benefits toanyone who's learned high school math and Microsoft Excel
• Can be implemented by managers or individuals withoutadditional staff—in virtually any type of business
• Teaches all Six Sigma and Lean Six Sigma skills to giveyou knowledge equivalent to a traditionally trained Six Sigma green belt
• Includes case studies, formulas, glossary, quick tips,and other at-a-glance aids

From the basics to more advanced strategies, the invaluable skills in Six Sigma on a Budget help you get great results with a limited investment of time and money.

Warren Brussee was an engineer and plant manager at General Electric for 33 years. He is the holder of multiple patents for his Six Sigma work and is the authorof numerous Six Sigma books, including Statistics for Six Sigma Made Easy and All About Six Sigma. He lives in Columbia, SC.

Product Details

ISBN-13:	9780071736756
Publisher:	McGraw Hill LLC
Publication date:	05/19/2010
Pages:	192
Sales rank:	1,144,541
Product dimensions:	5.90(w) x 8.90(h) x 0.50(d)

About the Author

About the Author
Warren Brussee spent 33 years at GE as an engineer, plant manager, and engineering manager. His responsibilities included manufacturing plants in the U.S., Hungary, and China. He received his Six Sigma training at GE, but found the training and the related manuals wanting. Warren then began teaching a simplified version of Six Sigma at GE and eventually wrote several books on Six Sigma.

Warren Brussee's current Six Sigma books, Statistics for Six Sigma Made Easy and All About Six Sigma, both published by McGraw-Hill, have sold over 50,000 copies and continue to sell well. Many universities use Statistics for Six Sigma Made Easy as their primary text for teaching Six Sigma. Three such schools are: The University of Wisconsin-Madison, University of Bridgeport School of Engineering, and Southern Illinois University Carbondale.

Table of Contents

Part 1 Overview

Chapter 1 General Six Sigma 3

Introduction 3

The History of Six Sigma 4

The Six Sigma Goal 5

Management's Role 5

Six Sigma Titles 5

Six Sigma Teams 6

Chapter 2 Measurements and Problem Solving 7

Metrics and Keeping Score 7

The DMAIC Problem-Solving Method 8

Part 2 Nonstatistical Six Sigma Tools

Chapter 3 Customer-Driven Needs and Concerns 15

The Simplified QFD 15

Traditional QFDs 21

The Simplified FMEA 23

Traditional FMEAs 28

Chapter 4 Visual Assists 31

Fishbone Diagrams 31

Instructions for Fishbone Diagrams 32

Simplified Process Flow Diagrams 34

Instructions for Simplified Process Flow Diagrams 37

Visual Correlation Tests 40

Part 3 Getting Good Data

Chapter 5 Data and Samples 49

Types of Data 49

Data Discrimination 50

Collecting Samples 53

Average and Variation 58

Chapter 6 Simplified Gauge Verification 71

Checking for Gauge Error 73

Instructions for Simplified Gauge Verification 74

Example of Simplified Gauge Verification on Bearings 76

Gauge R&R 78

Part 4 Probability, Plots, and Statistical Tests

Chapter 7 Data Overview 83

Probability 83

Data Plots and Distributions 92

Plotting Data 108

Chapter 8 Testing for Statistically Significant Change 115

Testing for Statistically Significant Change Using Variables Data 115

Using a Sample to Check for a Change versus a Population 124

Checking for a Statistically Significant Change between Two Samples 133

Incidental Statistics Terminology Not Used in Preceding Tests 139

Testing for Statistically Significant Change Using Proportional Data 140

Testing for Statistically Significant Change, Nonnormal Distributions 150

Part 5 Process Control, Does, and Rss Tolerances

Chapter 9 General and Focused Control 157

General Process Control 157

Traditional Control Charts 158

Simplified Control Charts 158

Chapter 10 Design of Experiments and Tolerance Analysis 163

Design of Experiments 163

Simplified DOEs 164

RSS Tolerances 165

Appendix: The Six Sigma Statistical Tool Finder Matrix 167

Glossary 169

Related Reading 173

Index 175