Statistical Process Control for Quality Improvement

Statistical Process Control for Quality Improvement : The Deming Paradigm and Beyond

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While the common practice of Quality Assurance aims to prevent bad units from being shipped beyond some allowable proportion, statistical process control (SPC) ensures that bad units are not created in the first place. Its philosophy of continuous quality improvement, to a great extent responsible for the success of Japanese manufacturing, is rooted in a paradigm as process-oriented as physics, yet produces a friendly and fulfilling work environment. The first edition of this groundbreaking text showed that the SPC paradigm of W. Edwards Deming was not at all the same as the Quality Control paradigm that has dominated American manufacturing since World War II. Statistical Process Control: The Deming Paradigm and Beyond, Second Edition reveals even more of Deming's philosophy and provides more techniques for use at the managerial level. Explaining that CEOs and service industries need SPC at least as much as production managers, it offers precise methods and guidelines for their use. Using the practical experience of the authors working both in America and Europe, this book shows how SPC can be implemented in a variety of settings, from health care to manufacturing. It also provides you with the necessary technical background through mathematical and statistical appendices. According to the authors, companies with managers who have adopted the philosophy of statistical process control tend to survive. Those with managers who do not are likely to fail. In which group will your company be?show more

Product details

  • Hardback | 456 pages
  • 157.48 x 236.22 x 30.48mm | 793.78g
  • Taylor & Francis Inc
  • Chapman & Hall/CRC
  • United States
  • English
  • Revised
  • 2nd Revised edition
  • 144 black & white illustrations
  • 1584882425
  • 9781584882428

Review quote

From the first edition: "The book is intellectually stimulating, sometimes on non-statistical issues, which is a rare bonus for readers in this field." - Bulletin of the International Statistical Institute, Short Book Reviewsshow more

Table of contents

PREFACE STATISTICAL PROCESS CONTROL: A BRIEF OVERVIEW Quality Control: Origins, Misperceptions A Case Study in Statistical Process Control If Humans Behaved Like Machines Pareto's Maxim Deming's Fourteen Points QC Misconceptions, East and West White Balls, Black Balls The Basic Paradigm of Statistical Process Control Basic Statistical Procedures in Statistical Process Control Acceptance Sampling The Case for Understanding Variation Statistical Coda ACCEPTANCE-REJECTION STATISTICAL PROCESS CONTROL The Basic Test Basic Test with Equal Lot Size Testing with Unequal Lot Sizes Testing with Open-Ended Count Data THE DEVELOPMENT OF MEAN AND STANDARD DEVIATION CONTROL CHARTS A Contaminated Production Process Estimation of Parameters of the "Norm" Process Robust Estimators for Uncontaminated Process Parameters A Process with Mean Drift A Process with Upward Drift in Variance Charts for Individual Measurements Process Capability SEQUENTIAL APPROACHES The Sequential Likelihood Ratio Test CUSUM Test for Shift of the Mean Shewhart CUSUM Chart Performance of CUSUM Tests on Data with Mean Drift Sequential Tests for Persistent Shift of the Mean CUSUM Performance on Data with Upward Variance Drift Acceptance-Rejection CUSUMS EXPLORATORY TECHNIQUES FOR PRELIMINARY ANALYSIS The Schematic Plot Smoothing by Threes Bootstrapping Pareto and Ishikawa Diagrams A Bayesian Pareto Analysis for System Optimization of the Space Station The Management and Planning Tools OPTIMIZATION APPROACHES A Simplex Algorithm for Optimization Selection of Objective Function Motivation for Linear Models Multivariate Extensions Least Squares Model "Enrichment" Testing for Model "Enrichment" 2p Factorial Designs Some Rotatable Quadratic Designs Saturated Designs A Simulation Based Approach MULTIVARIATE APPROACHES Likelihood Ratio Tests for Location Compound and Projection Tests A Robust Estimate of "In Control" Location A Rank Test for Location Slippage A Rank Test for Change in Scale and/or Location APPENDICES A Brief Introduction to Linear Algebra A Brief Introduction to Stochastics Statistical Tables Note: All chapters also include an introduction, references, and more

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