Central Library

Normal view MARC view ISBD view

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.
    average rating: 0.0 (0 votes)
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.
Close