Statistical process control the Deming paradigm and beyond.pdf

STATISTICAL PROCESS

The Deming Paradigm and Beyond

SECOND EDITION

CONTROL

STATISTICAL PROCESS

The Deming Paradigm and Beyond

SECOND EDITION

James R. Thompson

Jacek Koronacki

CHAPMAN & HALL/CRC

A CRC Press Company

Boca Raton London New York Washington, D.C.

CONTROL

Library of Congress Cataloging-in-Publication Data

Thompson, James R., 1938-

Statistical process control: the Deming paradigm and beyond / James R. Thompson, Jacek

Koronacki.—2nd ed.

p. cm.

Includes bibliographical references and index.

ISBN 1-58488-242-5 (alk. paper)

1. Process control—Statistical methods. 2. Production management—Quality control. I.

Koronacki, Jacek. II. Title.

TS156.8 .T55 2001

658.5

015195—dc21

2001043990

This book contains information obtained from authentic and highly regarded sources. Reprinted material

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International Standard Book Number 1-58488-242-5

Library of Congress Card Number 2001043990

Printed in the United States of America 1 2 3 4 5 6 7 8 9 0

Printed on acid-free paper

′

To my wife, Ewa Majewska Thompson

James R. Thompson

To my wife, Renata Houwald Koronacka and to my children,

Urszula and Krzysztof

Jacek Koronacki

Contents

Preface to First Edition

Preface to Second Edition

xix

1 Statistical Process Control: A Brief Overview

1.1. Introduction

1.2. Quality Control: Origins, Misperceptions

1.3. A Case Study in Statistical Process Control

1.4. If Humans Behaved Like Machines

1.5. Pareto’s Maxim

1.6. Deming’s Fourteen Points

1.7. QC Misconceptions, East and West

1.8. White Balls, Black Balls

1.9. The Basic Paradigm of Statistical Process Control

1.10. Basic Statistical Procedures in Statistical Process Control

1.11. Acceptance Sampling

1.12. The Case for Understanding Variation

1.13. Statistical Coda

References

Problems

2 Acceptance-Rejection SPC

2.1. Introduction

2.2. The Basic Test

2.3. Basic Test with Equal Lot Size

2.4. Testing with Unequal Lot Sizes

2.5. Testing with Open-Ended Count Data

Problems

3 The Development of Mean and Standard Deviation Control

Charts

3.1. Introduction

3.2. A Contaminated Production Process

3.3. Estimation of Parameters of the “Norm” Process

3.4. Robust Estimators for Uncontaminated Process Parameters

3.5. A Process with Mean Drift

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