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Intelligent manufacturing

Pathak, Sunil.

Intelligent manufacturing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent manufacturingedited by Sunil Pathak.
other author:	Pathak, Sunil.
Published:	Cham :Springer International Publishing :2021.
Description:	x, 196 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligenceIndustrial applications.
Online resource:	https://doi.org/10.1007/978-3-030-50312-3
ISBN:	9783030503123$q(electronic bk.)

Intelligent manufacturing
Intelligent manufacturing[electronic resource] /edited by Sunil Pathak. - Cham :Springer International Publishing :2021. - x, 196 p. :ill., digital ;24 cm. - Materials forming, machining and tribology,2195-0911. - Materials forming, machining and tribology..

This book sheds light on the development of traditional and advanced optimization methods. Their use in various tradition and non-tradition manufacturing and machining processes for an improved manufacturability is reported. This includes key elements of implementing conventional statistical methods, multi-objective and multi-criteria decision-making methods and evolution of single and multi-target optimization techniques using soft computing to enhance production performance, efficiency and sustainability in manufacturing. The latest research in this area as well as possible avenues of future research are also highlighted.

ISBN: 9783030503123$q(electronic bk.)

Standard No.: 10.1007/978-3-030-50312-3doiSubjects--Topical Terms:

524554
Artificial intelligence
--Industrial applications.

LC Class. No.: TA347.A78 / I57 2021

Dewey Class. No.: 670.28563

Intelligent manufacturing
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245 0 0 $a Intelligent manufacturing $h [electronic resource] / $c edited by Sunil Pathak.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a x, 196 p. : $b ill., digital ; $c 24 cm.
490 1 $a Materials forming, machining and tribology, $x 2195-0911
520 $a This book sheds light on the development of traditional and advanced optimization methods. Their use in various tradition and non-tradition manufacturing and machining processes for an improved manufacturability is reported. This includes key elements of implementing conventional statistical methods, multi-objective and multi-criteria decision-making methods and evolution of single and multi-target optimization techniques using soft computing to enhance production performance, efficiency and sustainability in manufacturing. The latest research in this area as well as possible avenues of future research are also highlighted.
650 0 $a Artificial intelligence $x Industrial applications. $3 524554
650 0 $a Manufacturing processes $x Technological innovations. $3 338712
650 1 4 $a Manufacturing, Machines, Tools, Processes. $3 833130
650 2 4 $a Machinery and Machine Elements. $3 274678
650 2 4 $a Computational Intelligence. $3 338479
700 1 $a Pathak, Sunil. $3 869102
710 2 $a SpringerLink (Online service) $3 273601
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830 0 $a Materials forming, machining and tribology. $3 674563
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950 $a Engineering (SpringerNature-11647)