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Optimization of Manufacturing Processes

Title
Optimization of Manufacturing Processes [electronic resource] / edited by Kapil Gupta, Munish Kumar Gupta.
ISBN
9783030196387
Edition
1st ed. 2020.
Publication
Cham : Springer International Publishing : Imprint: Springer, 2020.
Physical Description
1 online resource (VIII, 232 p.)
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
January 07, 2020
Series
Springer Series in Advanced Manufacturing,
Springer Series in Advanced Manufacturing,
Contents
Part I: Intelligent Manufacturing Using Statistical Techniques
Part II: Intelligent Manufacturing using Multi-criteria Decision Making
Part III: Intelligent Manufacturing using Evolutionary Techniques.
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