Statistical Quality Control : A Loss Minimization Approach

A Loss Minimization Approach

By: Dan Trietsch

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Hardcover | 1 April 1999

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404 Pages

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26.67 x 18.42 x 2.54

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While many books on quality espouse the Taguchi loss function, they do not examine its impact on statistical quality control (SQC). But using the Taguchi loss function sheds new light on questions relating to SQC and calls for some changes. This book covers SQC in a way that conforms with the need to minimize loss. Subjects often not covered elsewhere include: (i) measurements, (ii) determining how many points to sample to obtain reliable control charts (for which purpose a new graphic tool, diffidence chats, is introduced), (iii) the connection between process capability and tolerances, (iv) how to adapt Deming's kp rule to quadratic loss, (v) how to adjust without tampering. We also discuss the efficiency of various statistics and how control chart constants are derived.

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Preface
Introduction to Shewhart Control Charts	p. 1
On Measurement	p. 17
More on Precision and Calibration	p. 35
Partial Measurement of Quality by Loss Functions and Production Costs	p. 45
Asymmetrical Loss Functions	p. 69
Adjusting Processes Without Tampering	p. 75
Shewhart Control Charts for Attributes	p. 113
The Relationship Between Control Charts and Hypothesis Testing	p. 153
Control Charts for Continuous Variables	p. 159
On the Efficiency of Various Dispersion Statistics	p. 225
On the Computation of Control Chart Factors	p. 233
More on the Optimal Subgroup Size in Shewhart Control Charts	p. 239
Pattern Tests for Shewhart Control Charts	p. 243
Basic Concepts in Time Series Analysis	p. 269
Diffidence Analysis of Control Charts and Diffidence Charts	p. 281
Inspection Theory	p. 309
References	p. 353
Index	p. 363
Table of Contents provided by Blackwell. All Rights Reserved.

Statistical Quality Control : A Loss Minimization Approach

A Loss Minimization Approach

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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