Using statistics in industry: quality improvement through total process control
Saved in:
| Format: | Book |
|---|---|
| Language: | English |
| Published: |
New York u.a.
Prentice Hall
1994
|
| Edition: | 1. publ. |
| Series: | The manufacturing practitioner series
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XII, 361 S. graph. Darst. |
| ISBN: | 0134578627 |
Staff View
MARC
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| 245 | 1 | 0 | |a Using statistics in industry |b quality improvement through total process control |c Gordon Betteley ... |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a New York u.a. |b Prentice Hall |c 1994 | |
| 300 | |a XII, 361 S. |b graph. Darst. | ||
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| 650 | 4 | |a Process control |x Statistical methods | |
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Record in the Search Index
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|---|---|
| adam_text | Contents
Preface xi
1 Introduction 1
1.1 The context 1
1.2 Statistics and numbers 4
References to further reading 5
2 Basics 6
2.1 Steps in statistical analysis 6
2.2 Eyeballing 7
2.3 Unlikely numbers 8
2.4 Data precision 11
2.5 Patterns and trends 14
2.6 Data types 18
2.7 Data homongeneity 19
References to further reading 20
3 Data Presentation 21
3.1 Introduction 21
3.2 A set of data 21
3.3 Pie chart 22
3.4 Pictogram 22
3.5 Bar chart 23
3.6 Pareto analysis 23
3.7 Histogram of discrete data 25
3.8 Tally chart and frequency table 26
3.9 Histogram of continuous data 29
3.10 Ogive 30
3.11 Theoretical distributions 31
V
Contents
3.12 Mathematical distributions 36
3.13 Summary measures of the middle of a distribution 37
3.14 Calculations of mean, mode and median 38
3.15 Determination of median and mode from diagrams 40
3.16 An empirical relationship 41
3.17 Comparison of mean, mode and median 42
3.18 Samples and populations 45
3.19 Measures of the spread of a distribution 46
3.20 Calculations of variance and standard deviation 50
3.21 Other measures of the shape of a distribution 52
References to further reading 54
Self assessment questions 54
4 Probability and Probability Distributions 56
4.1 Introduction 56
4.2 The ratio rule 57
4.3 Range of probabilities 58
4.4 Special addition rule 58
4.5 General addition rule 59
4.6 The complement rule 62
4.7 Conditional probability 62
4.8 Multiplication rule (for two dependent events) 63
4.9 Tree diagrams 65
4.10 Multiplication rule (for more than two dependent events) 66
4.11 Multiplication rule (for independent events) 67
4.12 System modelling 70
4.13 Expectations 72
4.14 Probability distributions 74
4.15 Combinations 77
References to further reading 79
Self assessment questions 79
5 The Normal Distribution 82
5.1 Introduction 82
5.2 Recognition of a normal distribution 83
5.3 Theoretical description of the normal distribution 85
5.4 Characteristics of the normal pdf 86
5.5 Standardization 89
5.6 Standard normal probability tables 91
5.7 Normal probability determinations 92
References to further reading 100
Self assessment questions 100
vi
Contents
6 Other Probability Distributions 102
6.1 Introduction 102
6.2 Uniform distributions 103
6.3 Binomial distributions 106
6.4 Poisson distributions 109
6.5 Approximations 111
6.6 Geometric distributions 115
6.7 Exponential distributions 116
6.8 Weibull distributions 122
6.9 Mixed and composite Weibull distributions 127
References to further reading 131
Self assessment questions 131
7 Estimation 133
7.1 Introduction 133
7.2 Point estimates based on the sample mean 134
7.3 The central limit theorem 135
7.4 Confidence limits for normal ^ when a is known 139
7.5 Confidence limits for normal n when a is not known 141
7.6 Confidence limits on binomial p 142
7.7 Using several small samples to estimate normal n and a 144
7.8 Estimating binomial p from several samples of different
sizes 147
References to further reading 147
Self assessment questions 147
8 Probability Plotting 149
8.1 Introduction 149
8.2 General principles 149
8.3 Normal probability plotting 153
8.4 Probability plots for grouped data 156
8.5 Weibull probability plotting 157
8.6 Estimating the Weibull location parameter 159
8.7 Fitting composite Weibull distributions 161
8.8 Weibull probability paper 164
References to further reading 168
Self assessment questions 168
9 Process Control 169
9.1 A philosophy 169
9.2 Terminology 169
9.3 Stages of process control 171
9.4 Process control planning 175
9.5 Process commissioning 176
vii
Contents
9.6 Process monitoring 177
9.7 Process improvement 178
9.8 Process capability 180
9.9 Capability indexes (Cp, Cm, SPR, RPI) 182
9.10 Setting indexes (Cpk, Zv, ZL) 183
9.11 Capability assessments 185
9.12 Non normal capability assessments 191
9.13 Attribute capability statistics 194
References to further reading 194
10 Control Charts 195
10.1 Control chart types 195
10.2 Control chart design 195
10.3 Control lines 197
10.4 Charts for variables 198
10.5 Mean and range chart (or x R chart) 199
10.6 Median and range chart (or x R chart) 202
10.7 Mean and standard deviation chart (or x s chart) 206
10.8 Standard deviation calculation 207
10.9 Charts for attributes 207
10.10 Proportion of defectives chart (p chart) 209
10.11 Number of defectives chart (np chart) 212
10.12 Number of defects chart (c chart) 214
10.13 Proportion of defects chart (u chart) 217
10.14 Moving mean charts 217
10.15 Standardized charts 218
10.16 Charting data not over time 220
10.17 Charts with sample size 1 222
10.18 Chart interpretation 224
10.19 British control charts 232
10.20 Shewhart conventions 233
10.21 Average run length 234
References to further reading 236
Self assessment questions 236
11 Significance Testing 240
11.1 Introduction 240
11.2 Basic principles 240
11.3 Chi squared tests (x2 tests) 244
11.4 Contingency tables (significance of tabular data) 246
11.5 Goodness of fit tests (identification of distributions) 250
11.6 / tests for comparison of variability 253
11.7 ? tests for comparison of means 256
11.8 / test of single sample mean 257
viii
Contents
11.9 t test of means of two samples with data in pairs 259
11.10 Mest of means of two samples with data not in pairs 260
11.11 Kolmogorov Smirnov test 262
11.12 Tests for outliers 265
References to further reading 269
Self assessment questions 269
12 Advanced Techniques 272
12.1 Introduction 272
12.2 Single factor analysis of variance (ANOVA) 272
12.3 Two factor analysis of variance 277
12.4 Other aspects of ANOVA 279
12.5 Regression analysis 281
12.6 Correlation 287
12.7 Multiple regression 293
12.8 Design of experiments 295
12.9 Reliability testing 302
12.10 Variability costs 309
References to further reading 312
Self assessment questions 312
13 Qualitative Methods 315
13.1 Introduction 315
13.2 Brainstorming 315
13.3 Cause and effect diagram 316
13.4 Fault tree analysis (FTA) 319
13.5 Failure mode, effect and criticality analysis (FMECA) 322
13.6 Quality function deployment 324
13.7 In conclusion 328
References to further reading 329
Bibliography 330
Answers to Self Assessment Questions 332
Appendix A Glossary of Symbols 337
Appendix B Standard Normal Probability Table 341
Appendix C Binomial Table 343
Appendix D Poisson Table 346
Appendix E f table 348
Appendix F Control Chart Constants 350
Appendix G Chi Squared Table 352
Appendix H F Table 354
Appendix I Table of the Kolmogorov Smirnov Statistic 356
Subject Index 357
ix
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| discipline | Mathematik Wirtschaftswissenschaften |
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| format | Book |
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| illustrated | Illustrated |
| indexdate | 2024-07-09T17:43:29Z |
| institution | BVB |
| isbn | 0134578627 |
| language | English |
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| owner_facet | DE-384 DE-188 |
| physical | XII, 361 S. graph. Darst. |
| publishDate | 1994 |
| publishDateSearch | 1994 |
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| publisher | Prentice Hall |
| record_format | marc |
| series2 | The manufacturing practitioner series |
| spelling | Using statistics in industry quality improvement through total process control Gordon Betteley ... 1. publ. New York u.a. Prentice Hall 1994 XII, 361 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier The manufacturing practitioner series Kwaliteitscontrole gtt Productiemanagement gtt Statistische methoden gtt Process control Statistical methods Quality control Statistical methods Statistische Prozesslenkung (DE-588)4249675-5 gnd rswk-swf Statistische Prozesslenkung (DE-588)4249675-5 s DE-604 Betteley, Gordon Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006581759&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Using statistics in industry quality improvement through total process control Kwaliteitscontrole gtt Productiemanagement gtt Statistische methoden gtt Process control Statistical methods Quality control Statistical methods Statistische Prozesslenkung (DE-588)4249675-5 gnd |
| subject_GND | (DE-588)4249675-5 |
| title | Using statistics in industry quality improvement through total process control |
| title_auth | Using statistics in industry quality improvement through total process control |
| title_exact_search | Using statistics in industry quality improvement through total process control |
| title_full | Using statistics in industry quality improvement through total process control Gordon Betteley ... |
| title_fullStr | Using statistics in industry quality improvement through total process control Gordon Betteley ... |
| title_full_unstemmed | Using statistics in industry quality improvement through total process control Gordon Betteley ... |
| title_short | Using statistics in industry |
| title_sort | using statistics in industry quality improvement through total process control |
| title_sub | quality improvement through total process control |
| topic | Kwaliteitscontrole gtt Productiemanagement gtt Statistische methoden gtt Process control Statistical methods Quality control Statistical methods Statistische Prozesslenkung (DE-588)4249675-5 gnd |
| topic_facet | Kwaliteitscontrole Productiemanagement Statistische methoden Process control Statistical methods Quality control Statistical methods Statistische Prozesslenkung |
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