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Statistical Practice in Business and Industry; Contents; Contributors; Preface; 1 Introduction; 2 A History of Industrial Statistics; 3 Statistical Consultancy; 3.I. A Statistician in Industry; 3.II Black Belt Types; 3.III Statistical Consultancy Units at Universities; 3.IV Consultancy? . . . What's in It for Me?; 4 The Statistical Efficiency Conjecture; 5 Management Statistics; 6 Service Quality; 7 Design and Analysis of Industrial Experiments; 8 Data Mining; 9 Using Statistical Process Control for Continual Improvement; 10 Advanced Statistical Process Control; 11 Measurement System Analysis
12 Safety and Reliability12.I. Reliability Engineering: The State of the Art; 12.II Stochastics for the Quality Movement: An Integrated Approach to Reliability and Safety; 13 Multivariate and Multiscale Data Analysis; 14 Simulation in Industrial Statistics; 15 Communication; Index
This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics. Methods range from basic graphical approaches to generalised modelling, from designed experiments to process control. Solutions cover produce and process design, through manufacture to packaging and delivery, from single responses to multivariate problems.