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Optimization of Manufacturing Processes [electronic resource] / edited by Kapil Gupta, Munish Kumar Gupta.

Contributor(s): Gupta, Kapil [editor.] | Gupta, Munish Kumar [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Series in Advanced Manufacturing: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: VIII, 232 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030196387.Subject(s): Manufactures | Industrial Management | Security systems | Production management | Operations research | Machines, Tools, Processes | Industrial Management | Security Science and Technology | Production | Operations Research and Decision TheoryAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 670 Online resources: Click here to access online
Contents:
Part I: Intelligent Manufacturing Using Statistical Techniques -- Part II: Intelligent Manufacturing using Multi-criteria Decision Making -- Part III: Intelligent Manufacturing using Evolutionary Techniques.
In: Springer Nature eBookSummary: 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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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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