Statistical Quality Control: A Loss Minimization Approach

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World Scientific, 1999 - Technology & Engineering - 385 pages
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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 charts, 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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Contents

Preface
1
On Measurement
17
More on Precision and Calibration
35
Partial Measurement of Quality by Loss Functions
45
Leavenworth Richard S 247 355
48
Asymmetrical Loss Functions
69
Adjusting Processes Without Tampering
75
Shewhart Control Charts for Attributes
113
3 More on the Optimal Subgroup Size in Shewhart
239
Basic Concepts in Time Series Analysis
269
Diffidence Analysis of Control Charts and Diffidence Charts
281
Inspection Theory
309
lot tolerance percent defective see LTPD
332
References
353
Juran Joseph M vii 6 58 128 143
356
PC see production cost
357

Subgroup Size
135
of Opportunity
150
Control Charts for Continuous Variables
159
Pareto principle for variance reduction 65 66
221
1 On the Efficiency of Various Dispersion Statistics
225
2 On the Computation of Control Chart Factors
233

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