Statistical Process Control For Quality Improvement- Hardcover Version

Name: Statistical Process Control For Quality Improvement- Hardcover Version
Brand: Taylor & Francis Inc
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By: J. Koronacki, J.R. Thompson

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Hardcover | 26 December 2001 | Edition Number 2

At a Glance

Hardcover
456 Pages

Edition Type
New edition

Dimensions(cm)
23.4 x 15.6 x 3.18

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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?

Industry 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

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You Can Find This Book In

Non-Fiction Engineering & Technology Mechanical Engineering & Materials Production & Industrial Engineering Industrial Quality Control Mathematics Applied Mathematics Probability & Statistics Business & Management Management & Management Techniques Technology in General Maths for Engineers

Science Science in General Maths for Scientists Operational Research Industrial Chemistry & Manufacturing Technologies

Preface to First Edition	p. ix
Preface to Second Edition	p. xix
Statistical Process Control: A Brief Overview	p. 1
Introduction	p. 1
Quality Control: Origins, Misperceptions	p. 3
A Case Study in Statistical Process Control	p. 6
If Humans Behaved Like Machines	p. 9
Pareto's Maxim	p. 10
Deming's Fourteen Points	p. 14
QC Misconceptions, East and West	p. 18
White Balls, Black Balls	p. 20
The Basic Paradigm of Statistical Process Control	p. 32
Basic Statistical Procedures in Statistical Process Control	p. 33
Acceptance Sampling	p. 39
The Case for Understanding Variation	p. 41
Statistical Coda	p. 45
References	p. 47
Problems	p. 48
Acceptance-Rejection SPC	p. 53
Introduction	p. 53
The Basic Test	p. 55
Basic Test with Equal Lot Size	p. 58
Testing with Unequal Lot Sizes	p. 63
Testing with Open-Ended Count Data	p. 67
Problems	p. 71
The Development of Mean and Standard Deviation Control Charts	p. 75
Introduction	p. 75
A Contaminated Production Process	p. 77
Estimation of Parameters of the "Norm" Process	p. 81
Robust Estimators for Uncontaminated Process Parameters	p. 90
A Process with Mean Drift	p. 95
A Process with Upward Drift in Variance	p. 100
Charts for Individual Measurements	p. 104
Process Capability	p. 118
References	p. 123
Problems	p. 123
Sequential Approaches	p. 129
Introduction	p. 129
The Sequential Likelihood Ratio Test	p. 129
CUSUM Test for Shift of the Mean	p. 132
Shewhart CUSUM Chart	p. 136
Performance of CUSUM Tests on Data with Mean Drift	p. 138
Sequential Tests for Persistent Shift of the Mean	p. 141
CUSUM Performance on Data with Upward Variance Drift	p. 158
Acceptance-Rejection CUSUMs	p. 162
References	p. 165
Problems	p. 166
Exploratory Techniques for Preliminary Analysis	p. 171
Introduction	p. 171
The Schematic Plot	p. 172
Smoothing by Threes	p. 177
Bootstrapping	p. 186
Pareto and Ishikawa Diagrams	p. 193
A Bayesian Pareto Analysis for System Optimization of the Space Station	p. 197
The Management and Planning Tools	p. 206
References	p. 219
Problems	p. 220
Optimization Approaches	p. 225
Introduction	p. 225
A Simplex Algorithm for Optimization	p. 228
Selection of Objective Function	p. 237
Motivation for Linear Models	p. 242
Multivariate Extensions	p. 252
Least Squares	p. 253
Model "Enrichment"	p. 258
Testing for Model "Enrichment"	p. 260
2[superscript p] Factorial Designs	p. 266
Some Rotatable Quadratic Designs	p. 270
Saturated Designs	p. 276
A Simulation Based Approach	p. 278
References	p. 281
Problems	p. 282
Multivariate Approaches	p. 289
Introduction	p. 289
Likelihood Ratio Tests for Location	p. 290
Compound and Projection Tests	p. 302
A Robust Estimate of "In Control" Location	p. 305
A Rank Test for Location Slippage	p. 308
A Rank Test for Change in Scale and/or Location	p. 312
References	p. 316
Problems	p. 317
A Brief Introduction to Linear Algebra	p. 321
Introduction	p. 321
Elementary Arithmetic	p. 323
Linear Independence of Vectors	p. 327
Determinants	p. 328
Inverses	p. 331
Definiteness of a Matrix	p. 333
Eigenvalues and Eigenvectors	p. 333
Matrix Square Root	p. 337
Gram-Schmidt Orthogonalization	p. 338
A Brief Introduction to Stochastics	p. 339
Introduction	p. 339
Conditional Probability	p. 344
Random Variables	p. 346
Discrete Probability Distributions	p. 351
More on Random Variables	p. 356
Continuous Probability Distributions	p. 360
Laws of Large Numbers	p. 370
Moment-Generating Functions	p. 372
Central Limit Theorem	p. 376
Conditional Density Functions	p. 377
Random Vectors	p. 378
Poisson Process	p. 387
Statistical Inference	p. 388
Bayesian Statistics	p. 411
References	p. 420
Statistical Tables	p. 421
Table of the Normal Distribution	p. 422
Table of the Chi-Square Distribution	p. 423
Table of Student's t Distribution	p. 424
Table of the F Distribution with [alpha] = .05	p. 425
Table of the F Distribution with [alpha] = .01	p. 426
Index	p. 427
Table of Contents provided by Syndetics. All Rights Reserved.

Statistical Process Control For Quality Improvement- Hardcover Version

At a Glance

Hardcover

Industry Reviews

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