Six Sigma Handbook

ISBN-10: 0071410155

ISBN-13: 9780071410151

Edition: 2nd 2003 (Revised)

Authors: Thomas Pyzdek

List price: $89.95
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This handbook is designed for the manager who is already familiar with Six Sigma & wants a comprehensive guide to the quality tools & statistics that are the foundation of the system. Problem-solving techniques and the most often used statistical tools are explained in detail.
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Book details

List price: $89.95
Edition: 2nd
Copyright year: 2003
Publisher: McGraw-Hill Companies, The
Publication date: 3/20/2003
Binding: Hardcover
Pages: 848
Size: 7.75" wide x 9.25" long x 2.25" tall
Weight: 3.542
Language: English

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.

Six Sigma Implementation and Management
Building the Six Sigma Infrastructure
What is Six Sigma?
Implementing Six Sigma
Change agent compensation and retention
Six Sigma Goals and Metrics
Attributes of good metrics
Six Sigma versus traditional three sigma performance
The balanced scorecard
Strategy deployment plan
Information systems requirements
Dashboard design
Setting organizational key requirements
Creating Customer-Driven Organizations
Elements of customer-driven organizations
Surveys and focus groups
Calculating the value of retention of customers
Kano model of customer expectations
Quality function deployment (QFD)
The Six Sigma process enterprise
Using QFD to link Six Sigma projects to strategies
Linking customer demands to budgets
Training for Six Sigma
Training needs analysis
The strategic training plan
Six Sigma Teams
Six Sigma teams
Process improvement teams
Work groups
Other self-managed teams
Team dynamics management, including conflict resolution
Facilitation techniques
Team performance evaluation
Team recognition and reward
Selecting and Tracking Six Sigma Projects
Choosing the right projects
Analyzing project candidates
Tracking Six Sigma project results
Six Sigma Tools and Techniques
Introduction to DMAIC and Other Improvement Models
DMAIC, DMADV and learning models
The Define Phase
Problem Solving Tools
Process mapping
Check sheets
Pareto analysis
Cause and effect diagrams
7M tools
The Measure Phase
Basic Principles of Measurement
Scales of measurement
Reliability and validity of data
Overview of statistical methods
Principles of statistical process control
Measurement Systems Analysis
R&R studies for continuous data
Attribute measurement error analysis
Repeatability and pairwise reproducibility
The Analyze Phase
Knowledge Discovery
Knowledge discovery tools
Establishing the process baseline
Statistical Process Control Techniques
Statistical process control (SPC)
Process Capability Analysis
Process capability analysis (PCA)
Estimating process yield
Statistical Analysis of Cause and Effect
Testing common assumptions
Regression and correlation analysis
Analysis of categorical data
Non-parametric methods
The Improve Phase
Managing Six Sigma Projects
Useful project management tools and techniques
Project charter
Work breakdown structures
Feedback loops
Performance measures
Cost considerations in project scheduling
Project management implementation
Risk Assessment
Reliability and safety analysis
Failure mode and effect analysis (FMEA)
Statistical tolerancing
Design of Experiments (DOE)
Power and sample size
Design characteristics
Types of design
Examples of applying common DOE methods using software
Empirical model building and sequential learning
Data mining, artificial neural networks and virtual process mapping
The Control Phase
Maintaining Control After the Project
Business process control planning
Using SPC for ongoing control
Process control planning for short and small runs
Preparing the short run process control plain (PCP)
Beyond DMAIC
Design for Six Sigma (DFSS)
Preliminary steps
Lean Manufacturing and Six Sigma
Introduction to Lean and muda
What is value to the customer?
What is the value stream?
How do we make value flow?
How do we make value flow at the pull of the customer?
How can we continue towards perfection?
Becoming Lean: A tactical perspective
Six Sigma and Lean
Glossary of basic statistical terms
Area under the standard normal curve
Critical values of the t-distribution
Chi-square distribution
F distribution ([alpha] = 1%)
F distribution ([alpha] = 5%)
Poisson probability sums
Tolerance interval factors
Durbin-Watson test bounds
y factors for computing AOQL
Control chart constants
Control chart equations
Table of d*[subscript 2] values
Power functions for ANOVA
Factors for short run control charts for individuals, X-bar, and R charts
Significant number of consecutive highest or lowest values from one stream of a multiple-stream process
Sample customer survey
Process [sigma] levels and equivalent PPM quality levels
Black Belt effectiveness certification
Green Belt effectiveness certification
AHP using Microsoft Excel
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