| Description |
1 online resource (447 pages) |
| Contents |
880-01 Statistical Process Control- Front Cover; Half Title; Title Page; Copyright Page; Dedication; Contents; Preface; Other titles by the same author and publisher; PART I: Process understanding; Chapter 1: Quality, processes and control; Objectives; 1.1 The basic concepts; 1.2 Design, conformance and costs; 1.3 Quality, processes systems, teams, tools and SPC; 1.4 Some basic tools; Chapter highlights; Note; References and further reading; Discussion questions; Chapter 2: Understanding the process; Objectives; 2.1 Improving customer satisfaction through process management |
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880-01/(S 7.3 Median, mid-range and multi-vari charts7.4 Moving mean, moving range and exponentially weighted moving average (EWMA) charts; 7.5 Control charts for standard deviation (σ); 7.6 Techniques for short run SPC; 7.7 Summarizing control charts for variables; Chapter highlights; Note; References and further reading; Discussion questions; Worked example; Chapter 8: Process control by attributes; Objectives; 8.1 Underlying concepts; 8.2 np-charts for number of defectives or non-conforming units; 8.3 p-charts for proportion defective or non-conforming units |
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2.2 Information about the process2.3 Process mapping and flowcharting; 2.4 Process analysis; 2.5 Statistical process control and process understanding; Chapter highlights; Note; References and further reading; Discussion questions; Chapter 3: Process data collection and presentation; Objectives; 3.1 The systematic approach; 3.2 Data collection; 3.3 Bar charts and histograms; 3.4 Graphs, run charts and other pictures; 3.5 Conclusions; Chapter highlights; References and further reading; Discussion questions; PART II: Process variability; Chapter 4: Variation: understanding and decision making |
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Objectives4.1 How some managers look at data; 4.2 Interpretation of data; 4.3 Causes of variation; 4.4 Accuracy and precision; 4.5 Variation and management; Chapter highlights; References and further reading; Discussion questions; Chapter 5: Variables and process variation; Objectives; 5.1 Measures of accuracy or centring; 5.2 Measures of precision or spread; 5.3 The normal distribution; 5.4 Sampling and averages; Chapter highlights; References and further reading; Discussion questions; Worked examples using the normal distribution; PART III: Process control |
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Chapter 6: Process control using variablesObjectives; 6.1 Means, ranges and charts; 6.2 Are we in control?; 6.3 Do we continue to be in control?; 6.4 Choice of sample size and frequency, and control limits; 6.5 Short-, medium- and long-term variation: a change in the standard practice; 6.6 Summary of SPC for variables using X and R charts; Chapter highlights; References and further reading; Discussion questions; Worked examples; Chapter 7: Other types of control charts for variables; Objectives; 7.1 Life beyond the mean and range chart; 7.2 Charts for individuals or run charts |
| Summary |
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 'took kit' approach of the first but included some of the 'philosophy' behind the techniques and their use. The theme which runs throughout the 7th edition is still processes - that 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 'took kit' and in this book the authors provide, not only the instructional guide for the tools, but communicate the management practices which 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 organisations 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 practicing engineers, scientists, technologists, managers and for anyone wishing to understand or implement modern statistical process control techniques |
| Notes |
8.4 c-charts for number of defects/non-conformities |
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Print version record |
| Subject |
Process control -- Statistical methods.
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TECHNOLOGY & ENGINEERING -- Chemical & Biochemical.
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TECHNOLOGY & ENGINEERING -- Quality Control.
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Process control -- Statistical methods
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| Form |
Electronic book
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| Author |
Oakland, John S
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| ISBN |
9781351662680 |
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1351662686 |
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