Statistical process control: theory and practice
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| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | Undetermined |
| Published: |
London u.a.
Chapman and Hall
1991
|
| Edition: | 1. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XIV, 400 S. graph. Darst. |
| ISBN: | 0412357003 |
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| 264 | 1 | |a London u.a. |b Chapman and Hall |c 1991 | |
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Record in the Search Index
| _version_ | 1804118765757005824 |
|---|---|
| adam_text | Contents
Method summaries ix
Acknowledgements xi
Preface xiii
1 Statistical process control 1
1.1 Development of SPC 1
1.2 What SPC is and is not 2
1.3 On-line SPC methods 3
1.4 Off-line process control 4
1.5 SPC methodology 6
1.6 Other factors affecting the success of SPC 8
1.7 Outline of the book 10
Exercises 10
2 Some basic distributions 11
2.1 Introduction 11
2.2 Some basic definitions 12
2.3 Attribute data - binomial distribution 14
2.4 Countable data - Poisson distribution 15
2.5 Geometric distribution 18
2.6 The Normal distribution 20
2.7 Distributions derived from the Normal distribution 21
2.8 Application of results - a simple control chart 23
2.9 Testing for Normality 28
2.10* The Normal approximation to the binomial distribution 32
2.11* Normal approximation to the Poisson distribution 33
Exercises 34
3 Process variation 39
3.1 Reasons for process variation 39
3.2 Types of process variation 40
3.3 Some models for process variation 43
3.4 Sampling error and measurement error 46
3.5 Studying process variation 48
vi Contents
3.6 Estimating the process average level and variation -
grouped data 55
3.7 Estimating the process average level and variation -
one-at-a-time data 63
Exercises 65
4 Process capability 70
4.1 Initial process capability studies 70
4.2 Shewhart control limits and specification limits or
tolerances 73
4.3 Relative capability 76
4.4 Process capability indices for more complex process models 80
4.5 How to handle low capability processes 82
Exercises 83
5 Basic Shewhart control charts for continuous variables 85
5.1 Introduction 85
5.2 Control charts for average level 91
5.3 Charts for control of (within-group) process spread 95
5.4 The average run length 100
5.5 Special problems 103
5.6* Some theoretical results for Shewhart charts 105
5.7* Charts for control of process spread 110
Exercises 111
6 Extensions to Shewhart charts for one-at-a-time data 114
6.1 One-at-a-time sampling 114
6.2 Estimation of a for one-at-a-time data 116
6.3 Details of further control charts for control of process
average level 122
6.4 Control of process spread 128
6.5 Choice of charting method 129
6.6 Practical use of Shewhart and moving-average charts 130
6.7* Properties of EWMA and MA charts 133
Exercises 135
7 Cumulative sum techniques for continuous variables 138
7.1 Introduction 138
7.2 CuSum charts for control of average level 153
7.3 CuSum charts for control of process spread 157
7.4* Nomogram for CuSums 164
Exercises 16g
Contents vii
8 Further theoretical results on control charts for continuous
variables 170
8.1 Introduction 170
8.2 The effect of departures from assumption on moments of x
and s2 171
8.3 Shewhart charts - Markov chain approach 172
8.4 Cumulative sum charts 177
8.5 Charts for control of process spread 189
Exercises 190
9 The design of control charts from specification limits 192
9.1 Single specification limits 192
9.2 Single specification limits: Chart for means 194
9.3 Double specification limits: High-capability processes 205
9.4 Double specification limits: An alternative approach 208
Exercises 210
10 Control of discrete data processes 212
10.1 Introduction 212
10.2 Shewhart charts for countable data (c and u) 218
10.3 Shewhart charts for attribute data (np and p) 227
10.4 CuSum charts for countable data: General points 232
10.5 CuSum charts for countable data 234
10.6 CuSum charts for attribute data 238
10.7 CuSum plots for countable or attribute data when the
Poisson or Binomial distribution does not apply 238
10.8 Comparison of Shewhart and CuSum schemes 239
Exercises 240
11 Sampling inspection 241
11.1 Introduction 241
11.2 Classification of inspection plans 246
11.3 Some properties of sampling plans 250
11.4 Methods of choosing sampling plans for attributes 256
Exercises 266
12 Inspection by variables 269
12.1 Introduction 269
12.2 Single specification limit, a known 271
12.3 Single specification limit, a unknown 275
12.4 Estimation of fraction non-conforming, single specification
limit 279
12.5 Double specification limit, a known 283
viii Contents
12.6 Double specification limit, a unknown 289
12.7 Multivariate sampling plans 289
Exercises 290
13 Standard sampling systems 291
13.1 Introduction 291
13.2 Statement of Method for inspection by attributes 293
13.3 Inspection by variables (ISO 3951) 298
13.4 International Standards for process and quality control 299
14* Adaptive sampling plans 303
14.1 Basic description and aims 303
14.2 CSP-1 and the AOQL criterion 304
14.3 Theory of CSP-1 307
14.4 The AEDL criterion 309
14.5 Decision-theory approach to CSP-1 310
14.6 Modifications to CSP-1 312
14.7 Process trouble shooting 315
14.8 Adaptive control 316
14.9 Use of CuSum techniques 319
14.10 Skip-lot sampling plans 321
Exercises 321
15 Some further topics 323
15.1 Computing 323
15.2 Economic approaches to the design of charts and sampling
plans 327
15.3 Some further charting methods 327
15.4 Multivariate methods 330
Appendix A 332
Statistical Tables
Appendix B 344
Datasets for sampling experiment
Appendix C 375
National and International Standards relating to
Quality Control
References 384
Index 391
Method summaries
2.1 Checking for normality - using normal probability paper 30
3.1 Calculating running means 48
3.2 Basic rule for CuSum plotting 54
3.3 Estimation of fi and aw by the ct method: grouped or
blocked data 56
3.4 Estimation of ft and ow by the range method: grouped or
blocked data 57
3.5 Estimation of between-group variation aB 60
3.6 Estimation of standard error of group means 62
3.7 Estimation of fi and ctw for one-at-a-time data 64
4.1 Summary of steps_in a process capability analysis 72
5.1 Construction of Z-chart 92
5.2 Construction of a range chart by the range method 95
5.3 Construction of a range chart by the a method 96
6.1 Estimation of o by moving ranges of k points 118
6.2 Construction of a moving-average chart 124
6.3 Construction of exponentially weighted moving-average
charts 126
6.4 Construction of a moving-range chart 128
7.1 Scaling a CuSum plot 140
7.2 Setting up a CuSum V-mask 142
7.3 Using a CuSum V-mask 143
7.4 Decision interval CuSum schemes 149
7.5 Setting up CuSum charts 156
7.6 CuSum scheme for ranges 159
7.7 CuSum scheme for standard deviations 161
7.8 Design of one-sided CuSum scheme 166
7.9 Design of one-sided CuSum scheme from limited information 166
7.10 Calculation of ARL curve of a one-sided CuSum scheme 167
8.1 Single specification limit. Position of action limit 197
9.2 Single specification limit. Position of action limit (More
accurate method) _ 199
9.3 Single specification limit. One-sided .Y-chart (More
accurate method) 202
x Method summaries
10.1 Shewhart chart for countable data (small values of c) 219
10.2 Shewhart chart for countable data (large values of c) 222
10.3 Shewhart chart for countable data (over or under dispersion) 224
10.4 Moving-average charts for countable data 226
10.5 np charts using the normal approximation to the
binomial distribution 229
10.6 np charts using a direct normal approximation 231
10.7 Moving-average p or np charts 232
10.8 CuSum charts for countable data: Choosing parameters 235
10.9 Operating a CuSum scheme for countable data 236
10.10 CuSum charts for countable and attribute data when
Poisson or binomial distribution does not apply 239
11.1 Producer s and consumer s risk method of determining
attribute sampling plans 257
11.2 A simple semi-economic scheme 264
12.1 Inspection by variables, single specification limit, o known 272
12.2 Inspection by variables, single specification limit, a unknown 275
12.3 Inspection by variables, single specification limit, a known.
Fraction non-conforming method. 280
12.4 Inspection by variables, single specification limit, a
unknown. Fraction non-conforming method. 282
12.5 Inspection by variables, double specification limit, a known 288
12.6 Inspection by variables, double specification limit, a unknown 289
13.1 Inspection by attributes using ISO 2859 (BS 6001) 293
13.2 Inspection by variables, s method (ISO 3951) 298
|
| any_adam_object | 1 |
| author | Wetherill, George Barrie 1932- Brown, Don W. |
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| author_facet | Wetherill, George Barrie 1932- Brown, Don W. |
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| discipline | Mathematik Fertigungstechnik Wirtschaftswissenschaften |
| edition | 1. ed. |
| format | Book |
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| isbn | 0412357003 |
| language | Undetermined |
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| spelling | Wetherill, George Barrie 1932- Verfasser (DE-588)135980038 aut Statistical process control theory and practice G. Barrie Wetherill ; Don W. Brown 1. ed. London u.a. Chapman and Hall 1991 XIV, 400 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Qualitätskontrolle (DE-588)4047968-7 gnd rswk-swf Statistische Prozesslenkung (DE-588)4249675-5 gnd rswk-swf Prozesssteuerung (DE-588)4047594-3 gnd rswk-swf Statistische Prozesslenkung (DE-588)4249675-5 s DE-604 Prozesssteuerung (DE-588)4047594-3 s 1\p DE-604 Qualitätskontrolle (DE-588)4047968-7 s 2\p DE-604 Brown, Don W. Verfasser aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=002853716&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Wetherill, George Barrie 1932- Brown, Don W. Statistical process control theory and practice Qualitätskontrolle (DE-588)4047968-7 gnd Statistische Prozesslenkung (DE-588)4249675-5 gnd Prozesssteuerung (DE-588)4047594-3 gnd |
| subject_GND | (DE-588)4047968-7 (DE-588)4249675-5 (DE-588)4047594-3 |
| title | Statistical process control theory and practice |
| title_auth | Statistical process control theory and practice |
| title_exact_search | Statistical process control theory and practice |
| title_full | Statistical process control theory and practice G. Barrie Wetherill ; Don W. Brown |
| title_fullStr | Statistical process control theory and practice G. Barrie Wetherill ; Don W. Brown |
| title_full_unstemmed | Statistical process control theory and practice G. Barrie Wetherill ; Don W. Brown |
| title_short | Statistical process control |
| title_sort | statistical process control theory and practice |
| title_sub | theory and practice |
| topic | Qualitätskontrolle (DE-588)4047968-7 gnd Statistische Prozesslenkung (DE-588)4249675-5 gnd Prozesssteuerung (DE-588)4047594-3 gnd |
| topic_facet | Qualitätskontrolle Statistische Prozesslenkung Prozesssteuerung |
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