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Optimization of Manufacturing Processes / edited by Kapil Gupta, Munish Kumar Gupta.

Contributor(s): Gupta, Kapil, editor | Gupta, Munish Kumar, editor
Series: (Springer Series in Advanced Manufacturing, 1860-5168); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2020Edition: 1st ed. 2020.Description: 1 recurso en línea (VIII, 232 páginas).ISBN: 9783030196387.Subject: Procesos de fabricación -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Part I: Intelligent Manufacturing Using Statistical Techniques -- Part II: Intelligent Manufacturing using Multi-criteria Decision Making -- Part III: Intelligent Manufacturing using Evolutionary Techniques.
Abstract: This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making methods and evolutionary techniques for single and multi-objective optimization to improve quality, productivity, and sustainability in manufacturing. It reports on the theoretical aspects, special features, recent research and latest development in the field. Intelligent Manufacturing is a valuable source of information for researchers and practitioners, as it fills the gap where no dedicated book is available on intelligent manufacturing/modeling and optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and optimization in manufacturing.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TS183 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook06112050
Total holds: 0

Part I: Intelligent Manufacturing Using Statistical Techniques -- Part II: Intelligent Manufacturing using Multi-criteria Decision Making -- Part III: Intelligent Manufacturing using Evolutionary Techniques.

This book provides a detailed understanding of optimization methods as they are implemented in a variety of manufacturing, fabrication and machining processes. It covers the implementation of statistical methods, multi-criteria decision making methods and evolutionary techniques for single and multi-objective optimization to improve quality, productivity, and sustainability in manufacturing. It reports on the theoretical aspects, special features, recent research and latest development in the field. Intelligent Manufacturing is a valuable source of information for researchers and practitioners, as it fills the gap where no dedicated book is available on intelligent manufacturing/modeling and optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and optimization in manufacturing.

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