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Geometric Tolerances - Impact on Product Design, Quality Inspection and Statistical Process Monitoring (Paperback, Softcover... Geometric Tolerances - Impact on Product Design, Quality Inspection and Statistical Process Monitoring (Paperback, Softcover reprint of the original 1st ed. 2011)
Bianca M. Colosimo, Nicola Senin
R6,541 Discovery Miles 65 410 Ships in 10 - 15 working days

Geometric tolerances are changing the way we design and manufacture industrial products. Geometric Tolerances covers their impact on the world of design and production, highlighting new perspectives, possibilities, current issues and future challenges. The topics covered are designed to be relevant to readers from a variety of backgrounds, ranging from product designers and manufacturers to quality inspection engineers and quality engineers involved in statistical process monitoring. Areas included are: * selection of appropriate geometric tolerances and how they stack up in assembled products; * inspection of parts subjected to geometric tolerancing from the macro to the micro and sub-micro scales; and * enhancement of efficiency and efficacy of quality monitoring. Geometric Tolerances provides the reader with the most recent scientific research in the field, as well as with a significant amount of real-life industrial case studies, delivering a multidisciplinary, synoptic view of one of the hottest and most strategic topics in industrial production.

Geometric Tolerances - Impact on Product Design, Quality Inspection and Statistical Process Monitoring (Hardcover, Edition.):... Geometric Tolerances - Impact on Product Design, Quality Inspection and Statistical Process Monitoring (Hardcover, Edition.)
Bianca M. Colosimo, Nicola Senin
R6,574 Discovery Miles 65 740 Ships in 10 - 15 working days

Geometric tolerances are changing the way we design and manufacture industrial products. Geometric Tolerances covers their impact on the world of design and production, highlighting new perspectives, possibilities, current issues and future challenges. The topics covered are designed to be relevant to readers from a variety of backgrounds, ranging from product designers and manufacturers to quality inspection engineers and quality engineers involved in statistical process monitoring. Areas included are: * selection of appropriate geometric tolerances and how they stack up in assembled products; * inspection of parts subjected to geometric tolerancing from the macro to the micro and sub-micro scales; and * enhancement of efficiency and efficacy of quality monitoring. Geometric Tolerances provides the reader with the most recent scientific research in the field, as well as with a significant amount of real-life industrial case studies, delivering a multidisciplinary, synoptic view of one of the hottest and most strategic topics in industrial production.

Bayesian Process Monitoring, Control and Optimization (Paperback): Bianca M. Colosimo, Enrique Del Castillo Bayesian Process Monitoring, Control and Optimization (Paperback)
Bianca M. Colosimo, Enrique Del Castillo
R1,966 Discovery Miles 19 660 Ships in 12 - 17 working days

Although there are many Bayesian statistical books that focus on biostatistics and economics, there are few that address the problems faced by engineers. Bayesian Process Monitoring, Control and Optimization resolves this need, showing you how to oversee, adjust, and optimize industrial processes. Bridging the gap between application and development, this reference adopts Bayesian approaches for actual industrial practices. Divided into four parts, it begins with an introduction that discusses inferential problems and presents modern methods in Bayesian computation. The next part explains statistical process control (SPC) and examines both univariate and multivariate process monitoring techniques. Subsequent chapters present Bayesian approaches that can be used for time series data analysis and process control. The contributors include material on the Kalman filter, radar detection, and discrete part manufacturing. The last part focuses on process optimization and illustrates the application of Bayesian regression to sequential optimization, the use of Bayesian techniques for the analysis of saturated designs, and the function of predictive distributions for optimization. Written by international contributors from academia and industry, Bayesian Process Monitoring, Control and Optimization provides up-to-date applications of Bayesian processes for industrial, mechanical, electrical, and quality engineers as well as applied statisticians.

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