東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Large scale optimization in supply c...

Velasquez-Bermudez, Jesus M.

Linked to FindBook

Google Book

Amazon

博客來

Large scale optimization in supply chains and smart manufacturing = theory and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Large scale optimization in supply chains and smart manufacturing/ edited by Jesus M. Velasquez-Bermudez, Marzieh Khakifirooz, Mahdi Fathi.
Reminder of title:	theory and applications /
other author:	Velasquez-Bermudez, Jesus M.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xxi, 282 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Large scale systems. -
Online resource:	https://doi.org/10.1007/978-3-030-22788-3
ISBN:	9783030227883

Large scale optimization in supply chains and smart manufacturing = theory and applications /
Large scale optimization in supply chains and smart manufacturingtheory and applications /[electronic resource] :edited by Jesus M. Velasquez-Bermudez, Marzieh Khakifirooz, Mahdi Fathi. - Cham :Springer International Publishing :2019. - xxi, 282 p. :ill., digital ;24 cm. - Springer optimization and its applications,v.1491931-6828 ;. - Springer optimization and its applications ;v.149..

In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. The large scale optimization methods are represented by various theories such as Benders' decomposition, logic-based Benders' decomposition, Lagrangian relaxation, Dantzig -Wolfe decomposition, multi-tree decomposition, Van Roy' cross decomposition and parallel decomposition for mathematical programs such as mixed integer nonlinear programming and stochastic programming. Case studies of large scale optimization in supply chain management, smart manufacturing, and Industry 4.0 are investigated with efficient implementation for real-time solutions. The features of case studies cover a wide range of fields including the Internet of things, advanced transportation systems, energy management, supply chain networks, service systems, operations management, risk management, and financial and sales management. Instructors, graduate students, researchers, and practitioners, would benefit from this book finding the applicability of large scale optimization in asynchronous parallel optimization, real-time distributed network, and optimizing the knowledge-based expert system for convex and non-convex problems.

ISBN: 9783030227883

Standard No.: 10.1007/978-3-030-22788-3doiSubjects--Topical Terms:

691082
Large scale systems.

LC Class. No.: TA168 / .L37 2019

Dewey Class. No.: 620.001171

Large scale optimization in supply chains and smart manufacturing = theory and applications /
LDR:02410nmm a2200325 a 4500 001 2243213
003 DE-He213
005 20200702053728.0
006 m d
007 cr nn 008maaau
008 211207s2019 sz s 0 eng d
020 $a 9783030227883 $q (electronic bk.)
020 $a 9783030227876 $q (paper)
024 7 $a 10.1007/978-3-030-22788-3 $2 doi
035 $a 978-3-030-22788-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TA168 $b .L37 2019
072 7 $a PBU $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBU $2 thema
082 0 4 $a 620.001171 $2 23
090 $a TA168 $b .L322 2019
245 0 0 $a Large scale optimization in supply chains and smart manufacturing $h [electronic resource] : $b theory and applications / $c edited by Jesus M. Velasquez-Bermudez, Marzieh Khakifirooz, Mahdi Fathi.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xxi, 282 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer optimization and its applications, $x 1931-6828 ; $v v.149
520 $a In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. The large scale optimization methods are represented by various theories such as Benders' decomposition, logic-based Benders' decomposition, Lagrangian relaxation, Dantzig -Wolfe decomposition, multi-tree decomposition, Van Roy' cross decomposition and parallel decomposition for mathematical programs such as mixed integer nonlinear programming and stochastic programming. Case studies of large scale optimization in supply chain management, smart manufacturing, and Industry 4.0 are investigated with efficient implementation for real-time solutions. The features of case studies cover a wide range of fields including the Internet of things, advanced transportation systems, energy management, supply chain networks, service systems, operations management, risk management, and financial and sales management. Instructors, graduate students, researchers, and practitioners, would benefit from this book finding the applicability of large scale optimization in asynchronous parallel optimization, real-time distributed network, and optimizing the knowledge-based expert system for convex and non-convex problems.
650 0 $a Large scale systems. $3 691082
650 0 $a Business logistics. $3 648045
650 0 $a Manufacturing processes. $3 613090
650 1 4 $a Optimization. $3 891104
650 2 4 $a Supply Chain Management. $2 swd $3 1283588
650 2 4 $a Mathematical Modeling and Industrial Mathematics. $3 891089
650 2 4 $a Manufacturing, Machines, Tools, Processes. $3 3381528
700 1 $a Velasquez-Bermudez, Jesus M. $3 3503133
700 1 $a Khakifirooz, Marzieh. $3 3503134
700 1 $a Fathi, Mahdi. $3 3503135
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer optimization and its applications ; $v v.149. $3 3503136
856 4 0 $u https://doi.org/10.1007/978-3-030-22788-3
950 $a Mathematics and Statistics (SpringerNature-11649)