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Intelligent Manufacturing

Pathak, Sunil.

Intelligent Manufacturing

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Intelligent Manufacturing/ edited by Sunil Pathak.
other author:	Pathak, Sunil.
Description:	X, 196 p. 58 illus., 20 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Manufactures. -
Online resource:	https://doi.org/10.1007/978-3-030-50312-3
ISBN:	9783030503123

Intelligent Manufacturing
Intelligent Manufacturing[electronic resource] /edited by Sunil Pathak. - 1st ed. 2021. - X, 196 p. 58 illus., 20 illus. in color.online resource. - Materials Forming, Machining and Tribology,2195-092X. - 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:

680602
Manufactures.

LC Class. No.: TS1-2301

Dewey Class. No.: 670

Intelligent Manufacturing
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020 $a 9783030503123 $9 978-3-030-50312-3
024 7 $a 10.1007/978-3-030-50312-3 $2 doi
035 $a 978-3-030-50312-3
050 4 $a TS1-2301
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072 7 $a TEC020000 $2 bisacsh
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245 1 0 $a Intelligent Manufacturing $h [electronic resource] / $c edited by Sunil Pathak.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a X, 196 p. 58 illus., 20 illus. in color. $b online resource.
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490 1 $a Materials Forming, Machining and Tribology, $x 2195-092X
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 Manufactures. $3 680602
650 0 $a Machinery. $3 990113
650 0 $a Computational intelligence. $3 568984
650 1 4 $a Manufacturing, Machines, Tools, Processes. $3 1226012
650 2 4 $a Machinery and Machine Elements. $3 670866
650 2 4 $a Computational Intelligence. $3 768837
700 1 $a Pathak, Sunil. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1322447
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030503116
776 0 8 $i Printed edition: $z 9783030503130
776 0 8 $i Printed edition: $z 9783030503147
830 0 $a Materials Forming, Machining and Tribology, $x 2195-0911 $3 1261779
856 4 0 $u https://doi.org/10.1007/978-3-030-50312-3
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950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)

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