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Intelligent manufacturing

Pathak, Sunil.

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Intelligent manufacturing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intelligent manufacturing/ edited 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 intelligence - Industrial applications. -
Online resource:	https://doi.org/10.1007/978-3-030-50312-3
ISBN:	9783030503123

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

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

653318
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 653318
650 0 $a Manufacturing processes $x Technological innovations. $3 1001844
650 1 4 $a Manufacturing, Machines, Tools, Processes. $3 3381528
650 2 4 $a Machinery and Machine Elements. $3 893855
650 2 4 $a Computational Intelligence. $3 1001631
700 1 $a Pathak, Sunil. $3 3485884
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Materials forming, machining and tribology. $3 2054393
856 4 0 $u https://doi.org/10.1007/978-3-030-50312-3
950 $a Engineering (SpringerNature-11647)