Sign in  |  Register
Advanced search
Publication Cover

CITATION

Pyzdek, Thomas. The Six Sigma Handbook, Revised and Expanded. McGraw-Hill, 2003.

The Six Sigma Handbook, Revised and Expanded

Authors: Thomas Pyzdek

Published:  March 2003

eISBN: 9780071415965 0071415963 | ISBN: 9780071410151
Open eBook
  • Contents
  • Preface
  • Introduction
  • Part I: Six Sigma Implementation and Management
  • Chapter 1 Building the Six Sigma Infrastructure
  • What is Six Sigma?
  • Implementing Six Sigma
  • Change agent compensation and retention
  • Chapter 2 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
  • Chapter 3 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
  • Chapter 4 Training for Six Sigma
  • Training needs analysis
  • The strategic training plan
  • Chapter 5 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
  • Chapter 6 Selecting and Tracking Six Sigma Projects
  • Choosing the right projects
  • Analyzing project candidates
  • Tracking Six Sigma project results
  • Part II: Six Sigma Tools and Techniques
  • Chapter 7 Introduction to DMAIC and Other Improvement Models
  • DMAIC, DMADV and learning models
  • The Define Phase
  • Chapter 8 Problem Solving Tools
  • Process mapping
  • Check sheets
  • Pareto analysis
  • Cause and effect diagrams
  • 7M tools
  • The Measure Phase
  • Chapter 9 Basic Principles of Measurement
  • Scales of measurement
  • Reliability and validity of data
  • Overview of statistical methods
  • Principles of statistical process control
  • Chapter 10 Measurement Systems Analysis
  • R&R studies for continuous data
  • Attribute measurement error analysis
  • Respectability and pairwise reproducibility
  • The Analyze Phase
  • Chapter 11 Knowledge Discovery
  • Knowledge discovery tools
  • Establishing the process baseline
  • SIPOC
  • Chapter 12 Statistical Process Control Techniques
  • Statistical process control (SPC)
  • EWMA
  • Chapter 13 Process Capability Analysis
  • Process capability analysis (PCA)
  • Estimating process yield
  • Chapter 14 Statistical Analysis of Cause and Effect
  • Testing common assumptions
  • Regression and correlation analysis
  • Analysis of categorical data
  • Non-parametric methods
  • The Improve Phase
  • Chapter 15 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
  • Chapter 16 Risk Assessment
  • Reliability and safety analysis
  • Failure mode and effect analysis (FMEA)
  • Statistical tolerancing
  • Chapter 17 Design of Experiments (DOE)
  • Terminology
  • 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
  • Chapter 18 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)
  • PRE-Control
  • Beyond DMAIC
  • Chapter 19 Design for Six Sigma (DFSS)
  • Preliminary steps
  • Define
  • Measure
  • Analyze
  • Design
  • Verify
  • Chapter 20 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
  • Appendix
  • Table 1—Glossary of basic statistical terms
  • A
  • C
  • D
  • E
  • F
  • H
  • I
  • K
  • M
  • O
  • P
  • Q
  • R
  • S
  • T
  • V
  • Table 2—Area under the standard normal curve
  • Table 3—Critical values of the t-distribution
  • Table 4—Chi-square distribution
  • Table 5—F distribution (α = 1%)
  • Table 6—F distribution (α = 5%)
  • Table 7—Poisson probability sums
  • Table 8—Tolerance interval factors
  • Table 9—Durbin-Watson test bounds
  • Table 10—y factors for computing AOQL
  • Table 11—Control chart constants
  • Table 12—Control chart equations
  • Table 13—Table of d*[sub(2)] values
  • Table 14—Power functions for ANOVA
  • Table 15—Factors for short run control charts for individuals, X-bar, and R charts
  • Table 16—Significant number of consecutive highest or lowest values from one stream of a multiple-stream process
  • Table 17—Sample customer survey
  • Table 18—Process σ levels and equivalent PPM quality levels
  • Table 19—Black Belt effectiveness certification
  • Table 20—Green Belt effectiveness certification
  • Table 21—AHP using Microsoft Excel™
  • References
  • Index