Statistical process control:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
London ; New York
Routledge, Taylor & Francis Group
2019
|
| Ausgabe: | 7th edition |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Klappentext |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xv, 429 Seiten Diagramme |
| ISBN: | 9781138064263 9781138064256 |
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| adam_text | Contents Preface ХШ PARTI Process understanding 1 Quality, processes and control 1 3 Objectives 3 1.1 The basic concepts 3 1.2 Design, conformance and costs 8 1.3 Quality, processes systems, teams, tools and SPC 13 1.4 Some basic tools 18 Chapter highlights 20 Note 21 References and further reading 21 Discussion questions 22 2 Understanding the process Objectives 24 2.1 Improving customer satisfaction through process management 24 2.2 Information about the process 27 2.3 Process mapping and flowcharting 30 2.4 Process analysis 35 2.5 Statistical process control and process understanding 39 Chapter highlights 42 Note 42 References and further reading 42 Discussion questions 43 24
viii Contents 3 Process data collection and presentation 44 Objectives 44 3.1 The systematic approach 44 3.2 Data collection 46 3.3 Bar charts and histograms 48 3.4 Graphs, run charts and other pictures 55 3.5 Conclusions 58 Chapter highlights 59 References and further reading 60 Discussion questions 60 PARTII Process variability 4 Variation: understanding and decision making 63 65 Objectives 65 4.1 How some managers look at data 65 4.2 Interpretation of data 67 4.3 Causes of variation 70 4.4 Accuracy and precision 74 4.5 Variation and management 78 Chapter highlights 82 References and further reading 83 Discussion questions 83 5 Variables and process variation 84 Objectives 84 5.1 Measures of accuracy or centring 84 5.2 Measures of precision or spread 87 5.3 The normal distribution 89 5.4 Sampling and averages 90 Chapter highlights 96 References and further reading 97 Discussion questions 97 Worked examples using the normal distribution 99 PART III Process control 6 Process control using variables Objectives 105 6.1 Means, ranges and charts 105 103 105
Contents ix 6.2 Are we in control? 117 6.3 Do we continue to be in control? 119 6.4 Choice of sample size and frequency, and control limits 122 6.5 Short-, medium- and long-term variation: a change in the standard practice 125 _ 6.6 Summary of SPC for variables using X and R charts 129 Chapter highlights 130 References and further reading 131 Discussion questions 132 Worked examples 138 7 Other types of control charts for variables 149 Objectives 149 7.1 Life beyond the mean and range chart 149 7.2 Charts for individuals or run charts 151 7.3 Median, mid-range and multi-vari charts 156 7.4 Moving mean, moving range and exponentially weighted moving average (EWMA) charts 161 7.5 Control charts for standard deviation (a) 171 7.6 Techniques for short run SPC 176 7.7 Summarizing control charts for variables 178 Chapter highlights 178 Note 179 References and further reading 179 Discussion questions 180 Worked example 186 8 Process control by attributes Objectives 188 8.1 Underlying concepts 188 8.2 np-charts for number of defectives or non-conforming units 190 8.3 p-charts for proportion defective or non-conforming units 199 8.4 c-charts for number of defects/non-conformities 202 8.5 и-charts for number of defects/non conformities per unit 206 8.6 Attribute data in non-manufacturing 207 Chapter highlights 211 References and further reading 211 Discussion questions 212 Worked examples 214 188
x Contents 9 Cumulative sum (cusum) charts Objectives 218 9.1 Introduction to cusum charts 218 9.2 Interpretation of simple cusum charts 221 9.3 Product screening and pre-selection 227 9.4 Cusum decision procedures 229 Chapter highlights 233 References and further reading 234 Discussion questions 234 Worked examples 238 PART IV Process capability 10 Process capability for variables and its measurement Objectives 247 10.1 Will it meet the requirements? 247 10.2 Process capability indices 248 10.3 Interpreting capability indices 254 10.4 The use of control chart and process capability data 255 10.5 A service industry example: process capability analysis in a bank 258 Chapter highlights 259 References and further reading 260 Discussion questions 261 Worked examples 261 PART V Process improvement 11 Process problem solving and improvement Objectives 265 11.1 Introduction 265 11.2 Pareto analysis 268 11.3 Cause and effect analysis 277 11.4 Scatter diagrams 282 11.5 Stratification 286 11.6 Summarizing problem solving and improvement 288 Chapter highlights 288
Contents xi References and further reading 289 Discussion questions 290 Worked examples 293 12 Managing out-of-control processes 301 Objectives 301 12.1 Introduction 301 12.2 Process improvement strategy 302 12.3 Use of control charts for trouble-shooting 304 12.4 Assignable or special causes of variation 314 Chapter highlights 318 References and further reading 319 Discussion questions 319 13 Designing the statistical process control system 320 Objectives 320 13.1 SPC and the quality management system 320 13.2 Teamwork and process control/improvement 323 13.3 Improvements in the process 326 13.4 Taguchi methods 333 13.5 Summarizing improvement 338 Chapter highlights 339 References and further reading 340 Discussion questions 340 14 Six-sigma process quality 341 Objectives 341 14.1 Introduction 341 14.2 The six-sigma improvement model 344 14.3 Six-sigma and the role of Design of Experiments 347 14.4 Building a six-sigma organization and culture 349 14.5 Ensuring the financial success of six-sigma projects 351 14.6 Concluding observations and links with Excellence 358 Chapter highlights 359 References and further reading 361 Discussion questions 361 15 The implementation of statistical process control Objectives 363 15.1 Introduction 363 363
xii Contents 15.2 Successful users of SPC and the benefits derived 364 15.3 The implementation of SPC 365 15.4 Proposed methodology for implementation 371 Acknowledgements 375 Chapter highlights 376 References and further reading 376 Appendices 377 A The normal distribution and non-normality 379 В Constants used in the design of control charts formean 388 C Constants used in the design of control charts forrange 389 D Constants used in the design of control charts for median and range E 390 Constants used in the design of control charts for standard deviation 391 F Cumulative Poisson probability curves 392 G Confidence limits and tests of significance 393 H OC curves and ARL curves for X and R charts 402 I Autocorrelation 408 J Approximations to assist in process control of attributes 410 К Glossary of terms and symbols 415 Index 421
The 7th edition remains the go-to reference for the practical application of SPC, smartly updated to recognise the huge impact that quantum computing, interconnectivity, big data and artificial intelligence will increasingly have on organisations, and the inevitable need to transform business models, systems and processes at speed to retain competitive advantage. Vincent Desmond, CEO; Chartered Quality Institute The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control: A Practical Guide in the mid-eighties.Then people were rediscovering statistical methods of quality control and the book responded to an often desperate need to find out about the techniques and use them on data. Pressure over time from organizations supplying directly to the consumer, typically in the automotive and high technology sectors, forced those in charge of the supplying production and service operations to think more about preventing problems than how to find and fix them. Subsequent editions retained the tooi kit՜ approach of the first but included some of the philosophy behind the techniques and their use. The theme that runs throughout the 7th edition is still processes, which require understanding, have variation, must be properly controlled, have a capability, and need improvement - the five sections of this new edition. SPC never has been and never will be simply a tool kit and in this book the authors not only provide the instructional guide for the tools, but communicate the management practices
that have become so vital to success in organizations throughout the world.The book is supported by the authors extensive and latest consulting work within thousands of organizations worldwide. Fully updated to include real-life case studies, new research based on client work from an array of industries, and integration with the latest computer methods and Minitab software, the book also retains its valued textbook quality through clear learning objectives and end of chapter discussion questions. It can still serve as a textbook for both student and practising engineers, scientists, technologists, managers and for anyone wishing to understand or implement modern statistical process control techniques. is one of the world s top 10 gurus in quality and operational excellence. Chairman, the Oakland Group, Emeritus Professor of Quality Business Excellence at Leeds University Business School; a Fellow of the Chartered Quality Institute (CQI). unci a Member of American Society for Quality (ASQ) works across the globe helping complex organizations unlock the power in their data, using advanced analytical and statistical techniques to impiovo the quality, cost and delivery of their products and services He is a Porinei at the Oakland Group LLP
|
| adam_txt |
Contents Preface ХШ PARTI Process understanding 1 Quality, processes and control 1 3 Objectives 3 1.1 The basic concepts 3 1.2 Design, conformance and costs 8 1.3 Quality, processes systems, teams, tools and SPC 13 1.4 Some basic tools 18 Chapter highlights 20 Note 21 References and further reading 21 Discussion questions 22 2 Understanding the process Objectives 24 2.1 Improving customer satisfaction through process management 24 2.2 Information about the process 27 2.3 Process mapping and flowcharting 30 2.4 Process analysis 35 2.5 Statistical process control and process understanding 39 Chapter highlights 42 Note 42 References and further reading 42 Discussion questions 43 24
viii Contents 3 Process data collection and presentation 44 Objectives 44 3.1 The systematic approach 44 3.2 Data collection 46 3.3 Bar charts and histograms 48 3.4 Graphs, run charts and other pictures 55 3.5 Conclusions 58 Chapter highlights 59 References and further reading 60 Discussion questions 60 PARTII Process variability 4 Variation: understanding and decision making 63 65 Objectives 65 4.1 How some managers look at data 65 4.2 Interpretation of data 67 4.3 Causes of variation 70 4.4 Accuracy and precision 74 4.5 Variation and management 78 Chapter highlights 82 References and further reading 83 Discussion questions 83 5 Variables and process variation 84 Objectives 84 5.1 Measures of accuracy or centring 84 5.2 Measures of precision or spread 87 5.3 The normal distribution 89 5.4 Sampling and averages 90 Chapter highlights 96 References and further reading 97 Discussion questions 97 Worked examples using the normal distribution 99 PART III Process control 6 Process control using variables Objectives 105 6.1 Means, ranges and charts 105 103 105
Contents ix 6.2 Are we in control? 117 6.3 Do we continue to be in control? 119 6.4 Choice of sample size and frequency, and control limits 122 6.5 Short-, medium- and long-term variation: a change in the standard practice 125 _ 6.6 Summary of SPC for variables using X and R charts 129 Chapter highlights 130 References and further reading 131 Discussion questions 132 Worked examples 138 7 Other types of control charts for variables 149 Objectives 149 7.1 Life beyond the mean and range chart 149 7.2 Charts for individuals or run charts 151 7.3 Median, mid-range and multi-vari charts 156 7.4 Moving mean, moving range and exponentially weighted moving average (EWMA) charts 161 7.5 Control charts for standard deviation (a) 171 7.6 Techniques for short run SPC 176 7.7 Summarizing control charts for variables 178 Chapter highlights 178 Note 179 References and further reading 179 Discussion questions 180 Worked example 186 8 Process control by attributes Objectives 188 8.1 Underlying concepts 188 8.2 np-charts for number of defectives or non-conforming units 190 8.3 p-charts for proportion defective or non-conforming units 199 8.4 c-charts for number of defects/non-conformities 202 8.5 и-charts for number of defects/non conformities per unit 206 8.6 Attribute data in non-manufacturing 207 Chapter highlights 211 References and further reading 211 Discussion questions 212 Worked examples 214 188
x Contents 9 Cumulative sum (cusum) charts Objectives 218 9.1 Introduction to cusum charts 218 9.2 Interpretation of simple cusum charts 221 9.3 Product screening and pre-selection 227 9.4 Cusum decision procedures 229 Chapter highlights 233 References and further reading 234 Discussion questions 234 Worked examples 238 PART IV Process capability 10 Process capability for variables and its measurement Objectives 247 10.1 Will it meet the requirements? 247 10.2 Process capability indices 248 10.3 Interpreting capability indices 254 10.4 The use of control chart and process capability data 255 10.5 A service industry example: process capability analysis in a bank 258 Chapter highlights 259 References and further reading 260 Discussion questions 261 Worked examples 261 PART V Process improvement 11 Process problem solving and improvement Objectives 265 11.1 Introduction 265 11.2 Pareto analysis 268 11.3 Cause and effect analysis 277 11.4 Scatter diagrams 282 11.5 Stratification 286 11.6 Summarizing problem solving and improvement 288 Chapter highlights 288
Contents xi References and further reading 289 Discussion questions 290 Worked examples 293 12 Managing out-of-control processes 301 Objectives 301 12.1 Introduction 301 12.2 Process improvement strategy 302 12.3 Use of control charts for trouble-shooting 304 12.4 Assignable or special causes of variation 314 Chapter highlights 318 References and further reading 319 Discussion questions 319 13 Designing the statistical process control system 320 Objectives 320 13.1 SPC and the quality management system 320 13.2 Teamwork and process control/improvement 323 13.3 Improvements in the process 326 13.4 Taguchi methods 333 13.5 Summarizing improvement 338 Chapter highlights 339 References and further reading 340 Discussion questions 340 14 Six-sigma process quality 341 Objectives 341 14.1 Introduction 341 14.2 The six-sigma improvement model 344 14.3 Six-sigma and the role of Design of Experiments 347 14.4 Building a six-sigma organization and culture 349 14.5 Ensuring the financial success of six-sigma projects 351 14.6 Concluding observations and links with Excellence 358 Chapter highlights 359 References and further reading 361 Discussion questions 361 15 The implementation of statistical process control Objectives 363 15.1 Introduction 363 363
xii Contents 15.2 Successful users of SPC and the benefits derived 364 15.3 The implementation of SPC 365 15.4 Proposed methodology for implementation 371 Acknowledgements 375 Chapter highlights 376 References and further reading 376 Appendices 377 A The normal distribution and non-normality 379 В Constants used in the design of control charts formean 388 C Constants used in the design of control charts forrange 389 D Constants used in the design of control charts for median and range E 390 Constants used in the design of control charts for standard deviation 391 F Cumulative Poisson probability curves 392 G Confidence limits and tests of significance 393 H OC curves and ARL curves for X and R charts 402 I Autocorrelation 408 J Approximations to assist in process control of attributes 410 К Glossary of terms and symbols 415 Index 421
The 7th edition remains the go-to reference for the practical application of SPC, smartly updated to recognise the huge impact that quantum computing, interconnectivity, big data and artificial intelligence will increasingly have on organisations, and the inevitable need to transform business models, systems and processes at speed to retain competitive advantage. Vincent Desmond, CEO; Chartered Quality Institute The business, commercial and public-sector world has changed dramatically since John Oakland wrote the first edition of Statistical Process Control: A Practical Guide in the mid-eighties.Then people were rediscovering statistical methods of'quality control' and the book responded to an often desperate need to find out about the techniques and use them on data. Pressure over time from organizations supplying directly to the consumer, typically in the automotive and high technology sectors, forced those in charge of the supplying production and service operations to think more about preventing problems than how to find and fix them. Subsequent editions retained the 'tooi kit՜ approach of the first but included some of the philosophy' behind the techniques and their use. The theme that runs throughout the 7th edition is still processes, which require understanding, have variation, must be properly controlled, have a capability, and need improvement - the five sections of this new edition. SPC never has been and never will be simply a 'tool kit' and in this book the authors not only provide the instructional guide for the tools, but communicate the management practices
that have become so vital to success in organizations throughout the world.The book is supported by the authors' extensive and latest consulting work within thousands of organizations worldwide. Fully updated to include real-life case studies, new research based on client work from an array of industries, and integration with the latest computer methods and Minitab software, the book also retains its valued textbook quality through clear learning objectives and end of chapter discussion questions. It can still serve as a textbook for both student and practising engineers, scientists, technologists, managers and for anyone wishing to understand or implement modern statistical process control techniques. is one of the world's top 10 gurus in quality and operational excellence. Chairman, the Oakland Group, Emeritus Professor of Quality Business Excellence at Leeds University Business School; a Fellow of the Chartered Quality Institute (CQI). unci a Member of American Society for Quality (ASQ) works across the globe helping complex organizations unlock the power in their data, using advanced analytical and statistical techniques to impiovo the quality, cost and delivery of their products and services He is a Porinei at the Oakland Group LLP |
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| id | DE-604.BV047320477 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T17:29:00Z |
| indexdate | 2024-08-01T11:31:26Z |
| institution | BVB |
| isbn | 9781138064263 9781138064256 |
| language | English |
| lccn | 018026835 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032723243 |
| oclc_num | 1044702770 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-862 DE-BY-FWS |
| owner_facet | DE-355 DE-BY-UBR DE-862 DE-BY-FWS |
| physical | xv, 429 Seiten Diagramme |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Routledge, Taylor & Francis Group |
| record_format | marc |
| spellingShingle | Oakland, John S. Oakland, Robert James Statistical process control Process control Statistical methods Statistische Prozesslenkung (DE-588)4249675-5 gnd Qualitätskontrolle (DE-588)4047968-7 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Statistik (DE-588)4056995-0 gnd Prozesssteuerung (DE-588)4047594-3 gnd |
| subject_GND | (DE-588)4249675-5 (DE-588)4047968-7 (DE-588)4182962-1 (DE-588)4056995-0 (DE-588)4047594-3 |
| title | Statistical process control |
| title_auth | Statistical process control |
| title_exact_search | Statistical process control |
| title_exact_search_txtP | Statistical process control |
| title_full | Statistical process control John Oakland and Robert James Oakland |
| title_fullStr | Statistical process control John Oakland and Robert James Oakland |
| title_full_unstemmed | Statistical process control John Oakland and Robert James Oakland |
| title_short | Statistical process control |
| title_sort | statistical process control |
| topic | Process control Statistical methods Statistische Prozesslenkung (DE-588)4249675-5 gnd Qualitätskontrolle (DE-588)4047968-7 gnd Statistische Qualitätskontrolle (DE-588)4182962-1 gnd Statistik (DE-588)4056995-0 gnd Prozesssteuerung (DE-588)4047594-3 gnd |
| topic_facet | Process control Statistical methods Statistische Prozesslenkung Qualitätskontrolle Statistische Qualitätskontrolle Statistik Prozesssteuerung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032723243&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032723243&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT oaklandjohns statisticalprocesscontrol AT oaklandrobertjames statisticalprocesscontrol |
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