Statistical methods for SPC and TQM:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London u.a.
Chapman & Hall
1994
|
| Ausgabe: | 1. ed. |
| Schriftenreihe: | Chapmann & Hall statistics textbook series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XII, 373 S. graph. Darst. |
| ISBN: | 0412394405 |
Internformat
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| 245 | 1 | 0 | |a Statistical methods for SPC and TQM |c Derek Bissell |
| 250 | |a 1. ed. | ||
| 264 | 1 | |a London u.a. |b Chapman & Hall |c 1994 | |
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| 650 | 7 | |a Statistische methoden |2 gtt | |
| 650 | 7 | |a donnée numérique |2 inriac | |
| 650 | 7 | |a probabilité |2 inriac | |
| 650 | 7 | |a échantillonnage |2 inriac | |
| 650 | 4 | |a Process control -- Statistical methods | |
| 650 | 4 | |a Quality control -- Statistical methods | |
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Datensatz im Suchindex
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| adam_text | Contents
Preface xi
1 Introduction 1
1.1 Statistics and quality 1
1.2 What is SPC? 2
1.3 Control: management of the process 2
1.4 The process 3
1.5 Statistics 5
2 Data collection and graphical summaries 9
2.1 Introduction 9
2.2 Organizing raw data 10
2.3 Graphical presentation 12
2.4 Two dimensional data 16
2.5 Tabular presentation of two way classifications 18
2.5 Conclusion 20
3 Numerical data summaries: location and dispersion 23
3.1 Introduction 23
3.2 Measures of location: averages 23
3.3 Measures of dispersion or variation 33
3.4 Summary and conclusions: measures of variation 41
3.5 Further examples 42
3.6 Conclusion 45
4 Probability and distribution 47
4.1 Introduction 47
4.2 Types of data and levels of measurement 47
4.3 Distribution 47
4.4 Probability 49
4.5 Probability distributions 54
4.6 Measurements 55
4.7 Attributes and events 56
4.8 Normal approximations 60
4.9 Conclusion 61
vi Contents
5 Sampling, estimation and confidence 63
5.1 Introduction 63
5.2 Sampling distributions 63
5.3 Standard errors of sampling distributions 67
5.4 Reliability of estimates: confidence limits 68
5.5 Confidence limits for n, where a is estimated by s 71
5.6 Confidence limits for x, based on s 73
5.7 Confidence limits for proportions and rates of occurrence 76
6 Simple tests of hypotheses: significance tests 81
6.1 Significance tests: general principles 81
6.2 Testing x against fi0 84
6.3 Comparison of two sample means 85
6.4 Testing s against x0 88
6.5 Testing st against s2 90
6.6 Tests for attributes and events 92
6.7 Tests for outliers 94
6.8 Other aspects of significance tests 96
7 Control charts for process management and improvement 99
7.1 Introduction 99
7.2 Pre requisites 100
7.3 Basis of control charts 103
7.4 Overcontrol and undercontrol 104
7.5 Control limits and rules 105
7.6 Choosing the target value 107
7.7 In control/out of control 108
7.8 Setting up the control chart general 111
7.9 Calculators and computers in SPC 114
8 Control charts for average and variation 115
8.1 Introduction 115
8.2 UK and US practice 116
8.3 Derivation of control chart factors 117
8.4 Trial control chart and on going control 119
8.5 Control charts for median values 121
8.6 Examples of the use of jc, R; x, s; and M with individual values 122
8.7 Further points on average and variation charts 127
9 Control charts for single valued observations 129
9.1 Introduction 129
9.2 Measuring inherent variation 130
9.3 Process control: x charts 134
Contents vii
9.4 Moving average charts 134
9.5 Exponentially weighted moving average (EWMA) 136
9.6 Cusum (cumulative sum) charts 137
9.7 Examples of the use of x, 6, MR, MA and EWMA 137
9.8 Summary of x, d, MA, MR and EWMA procedures 146
10 Control charts for attributes and events 149
10.1 Introduction 149
10.2 Practical guide to control charts for attributes and events 152
10.3 Statistical basis of control limits for attributes and events 154
10.4 Exact probability limits for np, c, p and u 156
10.5 Use of the intercept charts 160
10.6 Examples and illustrations 161
10.7 Multiple characteristic chart 167
11 Control charts: problems and special cases 169
11.1 Introduction 169
11.2 Systematic shifts in process average 170
11.3 Between sample common causes 174
11.4 Within sample special causes 178
11.5 Short run processes 181
11.6 Non normality 183
12 Cusum methods 191
12.1 Introduction 191
12.2 Preliminary requirements 193
12.3 Cusum procedure and introductory example 195
12.4 Calculation of averages from a cusum chart 200
12.5 Estimation of trend from a cusum chart 202
12.6 Decision rules for monitoring applications 203
12.7 Tests for retrospective cusums 213
12.8 Weighted cusums 218
12.9 Estimation of variation from weighted data 220
12.10 Examples of weighted cusum applications 222
12.11 Conclusions 229
13 Process capability: attributes, events and normally distributed data 231
13.1 Introduction 231
13.2 Capability: attributes 232
13.3 Capability: events 233
13.4 Capability: normally distributed measurements 234
13.5 Statements of capability 236
13.6 Confidence limits for capability indices 241
viii Contents
13.7 Probability plotting and graphical presentation of capability 244
13.8 Examples of normal probability plots 252
13.9 General interpretation of probability (capability) plots 255
14 Capability: non normal distributions 257
14.1 Non normality or disturbed normality? 257
14.2 Capability statements: non normal measured data 259
14.3 Measuring non normality: skewness and kurtosis 260
14.4 Skewness and kurtosis: simple measures 261
14.5 Moments of statistical distributions 262
14.6 Significance tests for non normality 266
14.7 Alternatives to the normal distribution 269
14.8 Two examples of non normal situations 275
14.9 Confidence limits for non normal indices 278
14.10 Conclusion 279
15 Evaluating the precision of a measurement system (gauge capability) 281
15.1 Introduction 281
15.2 Repeatability and reproducibility 283
15.3 Experimental designs for precision evaluation 285
15.4 Analysis of precision data 287
15.5 Worked example: coating thickness measurements 289
15.6 Automotive industry procedures 296
15.7 Weights and measures applications 298
15.8 Outliers and the use of control charts 301
15.9 Conclusion 302
16 Getting more from control chart data 305
16.1 Introduction 305
16.2 Efficiency and degrees of freedom 307
16.3 Between sample variation 311
16.4 Tests and diagnostics for non randomness: v2 and v 313
16.5 Components of variation 317
16.6 Estimating the components 319
16.7 Using the components of variation 323
16.8 Analysis for counted data 329
17 SPC in non product applications 335
17.1 Introduction 335
17.2 SPC in the process 335
17.3 SPC in business areas 337
17.4 Tools for business area SPC 338
Bibliography and References 341
Contents ix
Appendices 345
A.1 Introduction 354
A.2 Linear combination of independent variables 354
A.3 Linear combination of correlated variables 356
A.4 Products and quotients 357
A.5 Non linear functions 359
A.6 Dealing with composite functions 362
A.7 Other useful standard errors 364
Index 367
|
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| language | English |
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| spelling | Bissell, Derek Verfasser aut Statistical methods for SPC and TQM Derek Bissell 1. ed. London u.a. Chapman & Hall 1994 XII, 373 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Chapmann & Hall statistics textbook series ECHANTILLON STATISTIQUE inriac Kwaliteitscontrole gtt Production - Contrôle - Méthodes statistiques ram Qualité - Contrôle - Méthodes statistiques ram Qualité totale ram Statistische methoden gtt donnée numérique inriac probabilité inriac échantillonnage inriac Process control -- Statistical methods Quality control -- Statistical methods Statistische Qualitätskontrolle (DE-588)4182962-1 gnd rswk-swf Statistische Prozesslenkung (DE-588)4249675-5 gnd rswk-swf Qualitätsmanagement (DE-588)4219057-5 gnd rswk-swf Qualitätsmanagement (DE-588)4219057-5 s DE-604 Statistische Qualitätskontrolle (DE-588)4182962-1 s Statistische Prozesslenkung (DE-588)4249675-5 s HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006336945&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Bissell, Derek Statistical methods for SPC and TQM ECHANTILLON STATISTIQUE inriac Kwaliteitscontrole gtt Production - Contrôle - Méthodes statistiques ram Qualité - Contrôle - Méthodes statistiques ram Qualité totale ram Statistische methoden gtt donnée numérique inriac probabilité inriac échantillonnage inriac Process control -- Statistical methods Quality control -- Statistical methods Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Statistische Prozesslenkung (DE-588)4249675-5 gnd Qualitätsmanagement (DE-588)4219057-5 gnd |
| subject_GND | (DE-588)4182962-1 (DE-588)4249675-5 (DE-588)4219057-5 |
| title | Statistical methods for SPC and TQM |
| title_auth | Statistical methods for SPC and TQM |
| title_exact_search | Statistical methods for SPC and TQM |
| title_full | Statistical methods for SPC and TQM Derek Bissell |
| title_fullStr | Statistical methods for SPC and TQM Derek Bissell |
| title_full_unstemmed | Statistical methods for SPC and TQM Derek Bissell |
| title_short | Statistical methods for SPC and TQM |
| title_sort | statistical methods for spc and tqm |
| topic | ECHANTILLON STATISTIQUE inriac Kwaliteitscontrole gtt Production - Contrôle - Méthodes statistiques ram Qualité - Contrôle - Méthodes statistiques ram Qualité totale ram Statistische methoden gtt donnée numérique inriac probabilité inriac échantillonnage inriac Process control -- Statistical methods Quality control -- Statistical methods Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Statistische Prozesslenkung (DE-588)4249675-5 gnd Qualitätsmanagement (DE-588)4219057-5 gnd |
| topic_facet | ECHANTILLON STATISTIQUE Kwaliteitscontrole Production - Contrôle - Méthodes statistiques Qualité - Contrôle - Méthodes statistiques Qualité totale Statistische methoden donnée numérique probabilité échantillonnage Process control -- Statistical methods Quality control -- Statistical methods Statistische Qualitätskontrolle Statistische Prozesslenkung Qualitätsmanagement |
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