The Six Sigma handbook : a complete guide for green belts, black belts, and managers at all levels

Title:

Personal Author:

Pyzdek, Thomas

Edition:

Rev. and expanded ed.

Publication Information:

New York, NY : McGraw-Hill, 2003

ISBN:

9780071410151

Subject Term:

Production management -- Handbooks, manuals, etc.

Quality control -- Statistical methods -- Handbooks, manuals, etc.

Six sigma (Quality control standard)

Available:*

Library	Item Barcode	Call Number	Material Type	Item Category 1	Status
Searching... PSZ JB	30000004717801	TS155 P99 2003	Open Access Book	Book	Searching... Unknown

Contains a 700-page guide to the quality tools and statistics that are the foundation for Six Sigma. This book provides an overview of the management goals, training issues involved in a Six Sigma implementation, and the underlying philosophy. It explains the problem-solving techniques and statistical tools most often used in Six Sigma.

Author Notes

Thomas Pyzdek, Thomas Pyzdek earned his Bachelor's Degree in Liberal Arts from the University of Nebraska at Omaha and earned his Master's in Systems Engineering in 1982, and Management in 1995, from the University of Arizona.

Pyzdek taught management statistics at the University of Arizona and for the American Society for Quality. He is a fellow of ASQ and is certified as both a Quality Engineer and a Reliability Engineer. Pyzdek has consulted for such large companies as Avon, McDonalds and Federal Mogul. He himself has launched two successful companies, Quality America, Inc, that specializes in statistical software, and Quality Publishing, Inc. which specializes in books and multimedia training materials. He also writes a regular column for Quality Digest Magazine.

In 1995, Pyzdek was awarded the ASQ Edwards Medal for outstanding contributions to the practice of quality management. He also received the Hughes Engineering Master's Fellowship in 1980. He was a member of the Board of Examiners for the first Malcolm Baldridge National Quality Award and the Panel of Judges for the first Arizona Govenor's Award for Quality. Pyzdek is listed as an Outstanding Writer and Author by the INternational Who's Who in Quality.

Preface	p. xiii
Introduction	p. xvi
Part I Six Sigma Implementation and Management	p. 1
Chapter 1 Building the Six Sigma Infrastructure	p. 3
What is Six Sigma?	p. 3
Implementing Six Sigma	p. 20
Change agent compensation and retention	p. 54
Chapter 2 Six Sigma Goals and Metrics	p. 56
Attributes of good metrics	p. 56
Six Sigma versus traditional three sigma performance	p. 58
The balanced scorecard	p. 61
Strategy deployment plan	p. 71
Information systems requirements	p. 74
Dashboard design	p. 79
Setting organizational key requirements	p. 89
Chapter 3 Creating Customer-Driven Organizations	p. 97
Elements of customer-driven organizations	p. 97
Surveys and focus groups	p. 102
Calculating the value of retention of customers	p. 116
Kano model of customer expectations	p. 119
Quality function deployment (QFD)	p. 121
The Six Sigma process enterprise	p. 125
Using QFD to link Six Sigma projects to strategies	p. 132
Linking customer demands to budgets	p. 140
Chapter 4 Training for Six Sigma	p. 150
Training needs analysis	p. 150
The strategic training plan	p. 152
Chapter 5 Six Sigma Teams	p. 167
Six Sigma teams	p. 167
Process improvement teams	p. 168
Work groups	p. 169
Other self-managed teams	p. 170
Team dynamics management, including conflict resolution	p. 171
Facilitation techniques	p. 178
Team performance evaluation	p. 182
Team recognition and reward	p. 184
Chapter 6 Selecting and Tracking Six Sigma Projects	p. 187
Choosing the right projects	p. 188
Analyzing project candidates	p. 189
Tracking Six Sigma project results	p. 208
Part II Six Sigma Tools and Techniques	p. 235
Chapter 7 Introduction to DMAIC and Other Improvement Models	p. 237
DMAIC, DMADV and learning models	p. 237
The Define Phase
Chapter 8 Problem Solving Tools	p. 252
Process mapping	p. 252
Check sheets	p. 255
Pareto analysis	p. 259
Cause and effect diagrams	p. 261
7M tools	p. 264
The Measure Phase
Chapter 9 Basic Principles of Measurement	p. 277
Scales of measurement	p. 277
Reliability and validity of data	p. 280
Overview of statistical methods	p. 283
Principles of statistical process control	p. 318
Chapter 10 Measurement Systems Analysis	p. 325
R&R studies for continuous data	p. 325
Attribute measurement error analysis	p. 346
Repeatability and pairwise reproducibility	p. 352
The Analyze Phase
Chapter 11 Knowledge Discovery	p. 361
Knowledge discovery tools	p. 361
Establishing the process baseline	p. 385
SIPOC	p. 383
Chapter 12 Statistical Process Control Techniques	p. 393
Statistical process control (SPC)	p. 393
EWMA	p. 453
Chapter 13 Process Capability Analysis	p. 467
Process capability analysis (PCA)	p. 467
Estimating process yield	p. 484
Chapter 14 Statistical Analysis of Cause and Effect	p. 490
Testing common assumptions	p. 490
Regression and correlation analysis	p. 496
Analysis of categorical data	p. 514
Non-parametric methods	p. 528
The Improve Phase
Chapter 15 Managing Six Sigma Projects	p. 534
Useful project management tools and techniques	p. 535
Project charter	p. 538
Work breakdown structures	p. 541
Feedback loops	p. 543
Performance measures	p. 544
Cost considerations in project scheduling	p. 552
Project management implementation	p. 560
Chapter 16 Risk Assessment	p. 571
Reliability and safety analysis	p. 571
Failure mode and effect analysis (FMEA)	p. 596
Statistical tolerancing	p. 600
Chapter 17 Design of Experiments (DOE)	p. 607
Terminology	p. 608
Power and sample size	p. 610
Design characteristics	p. 610
Types of design	p. 611
Examples of applying common DOE methods using software	p. 616
Empirical model building and sequential learning	p. 624
Data mining, artificial neural networks and virtual process mapping	p. 644
The Control Phase
Chapter 18 Maintaining Control After the Project	p. 649
Business process control planning	p. 649
Using SPC for ongoing control	p. 652
Process control planning for short and small runs	p. 655
Preparing the short run process control plain (PCP)	p. 656
PRE-Control	p. 661
Beyond DMAIC
Chapter 19 Design for Six Sigma (DFSS)	p. 665
Preliminary steps	p. 665
Define	p. 667
Measure	p. 670
Analyze	p. 671
Design	p. 682
Verify	p. 703
Chapter 20 Lean Manufacturing and Six Sigma	p. 705
Introduction to Lean and muda	p. 705
What is value to the customer?	p. 706
What is the value stream?	p. 708
How do we make value flow?	p. 711
How do we make value flow at the pull of the customer?	p. 713
How can we continue towards perfection?	p. 716
Becoming Lean: A tactical perspective	p. 720
Six Sigma and Lean	p. 721
Appendix	p. 724
Table 1 Glossary of basic statistical terms	p. 724
Table 2 Area under the standard normal curve	p. 730
Table 3 Critical values of the t-distribution	p. 733
Table 4 Chi-square distribution	p. 735
Table 5 F distribution ([alpha] = 1%)	p. 738
Table 6 F distribution ([alpha] = 5%)	p. 740
Table 7 Poisson probability sums	p. 742
Table 8 Tolerance interval factors	p. 746
Table 9 Durbin-Watson test bounds	p. 750
Table 10 y factors for computing AOQL	p. 754
Table 11 Control chart constants	p. 755
Table 12 Control chart equations	p. 757
Table 13 Table of d*[subscript 2] values	p. 759
Table 14 Power functions for ANOVA	p. 761
Table 15 Factors for short run control charts for individuals, X-bar, and R charts	p. 770
Table 16 Significant number of consecutive highest or lowest values from one stream of a multiple-stream process	p. 772
Table 17 Sample customer survey	p. 773
Table 18 Process [sigma] levels and equivalent PPM quality levels	p. 777
Table 19 Black Belt effectiveness certification	p. 778
Table 20 Green Belt effectiveness certification	p. 791
Table 21 AHP using Microsoft Excel	p. 804
References	p. 806
Index	p. 814

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Summary

Summary

Author Notes

Table of Contents