Statistical Case Studies for Industrial Process Improvement

Front Cover
This book contains a broad selection of case studies written by professionals in the semiconductor industry that illustrate the use of statistical methods to improve manufacturing processes. These case studies offer engineers, scientists, technicians, and managers numerous examples of best-in-class practices by their peers. Because of the universal nature of statistical applications, the methods described here can be applied to a wide range of industries, including the chemical, biotechnology, automotive, steel, plastics, textile, and food industries. Many industries already benefit from the use of statistical methods, although the semiconductor industry is considered both a leader in and a model for the wide application and effective use of statistics.
 

Contents

SA01_ch1
4
SA01_ch2
9
SA01_ch3
19
SA01_ch4
39
SA01_ch5
47
SA01_ch6
63
SA01_ch7
71
SA01_ch8
87
SA01_ch18
251
SA01_ch19
265
SA01_ch20
283
SA01_ch21
299
SA01_ch22
315
SA01_ch23
325
SA01_ch24
337
SA01_ch25
359

SA01_ch9
105
SA01_ch10
115
SA01_ch11
133
SA01_ch12
145
SA01_ch13
155
SA01_ch14
171
SA01_ch15
199
SA01_ch16
213
SA01_ch17
235
SA01_ch26
365
SA01_ch27
387
SA01_ch28
403
SA01_ch29
427
SA01_ch30
429
SA01_appendix
469
SA01_backmatter
477
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