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.
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The Editors, Shirley Coleman, Tony Greenfield, Dave Stewardson, and Douglas C. Montgomery, are section leaders in ENBIS ― European Network for Business and Industrial Statistics ― an organisation for the encouragement of exchange of ideas and methods of best practice between academia and industry across different countries.
Statistical methods are applied widely in industry, particularly in manufacturing processes, to provide authoritative methods for quality control and thus improve productivity and efficiency. The various methods range from graphical approaches to generalised modelling, and from designed experiments to process control. Statistical Practice in Business and Industry presents the latest advances in the application of statistical and optimisation methods within modern industry, alongside more established methods. Methods are demonstrated across a wide range of real-life applications from fields including finance, e-commerce, micro-electronics, chemical and automotive engineering, component assembly, household goods and plastics manufacturing. Each topic is investigated by an expert in that field, facilitating a comprehensive understanding of how statistical methods benefit business and industry.
The book:
The lucid style of Statistical Practice in Business and Industry makes this an invaluable text for anyone working in industry and employing statistical methods in their work. It also makes ideal supplementary reading for students of engineering and statistics.
Statistical methods are applied widely in industry, particularly in manufacturing processes, to provide authoritative methods for quality control and thus improve productivity and efficiency. The various methods range from graphical approaches to generalised modelling, and from designed experiments to process control. Statistical Practice in Business and Industry presents the latest advances in the application of statistical and optimisation methods within modern industry, alongside more established methods. Methods are demonstrated across a wide range of real-life applications from fields including finance, e-commerce, micro-electronics, chemical and automotive engineering, component assembly, household goods and plastics manufacturing. Each topic is investigated by an expert in that field, facilitating a comprehensive understanding of how statistical methods benefit business and industry.
The book:
The lucid style of Statistical Practice in Business and Industry makes this an invaluable text for anyone working in industry and employing statistical methods in their work. It also makes ideal supplementary reading for students of engineering and statistics.
"About this title" may belong to another edition of this title.
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Condition: New. 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. Editor(s): Coleman, Shirley; Greenfield, Tony; Stewardson, Dave; Montgomery, Douglas C. Series: Statistics in Practice. Num Pages: 450 pages, Illustrations. BIC Classification: KN; PBT. Category: (P) Professional & Vocational. Dimension: 236 x 162 x 29. Weight in Grams: 766. . 2008. 1st Edition. Hardcover. . . . . Seller Inventory # V9780470014974
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