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Statistical Process Control For Quality Improvement- Hardcover Version: 2nd Edition (Hardback) book cover

Statistical Process Control For Quality Improvement- Hardcover Version

2nd Edition

By J. Koronacki, J.R. Thompson

Chapman and Hall/CRC

456 pages | 144 B/W Illus.

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Hardback: 9781584882428
pub: 2001-12-26
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pub: 2001-12-26
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Description

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?

Reviews

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 Reviews

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 problems.

Subject Categories

BISAC Subject Codes/Headings:
BUS049000
BUSINESS & ECONOMICS / Operations Research
BUS053000
BUSINESS & ECONOMICS / Quality Control
MAT029000
MATHEMATICS / Probability & Statistics / General
TEC009060
TECHNOLOGY & ENGINEERING / Industrial Engineering
TEC032000
TECHNOLOGY & ENGINEERING / Quality Control