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Supply chain intelligenceapplication...

Davim, J. Paulo.

Supply chain intelligenceapplication and optimization /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Supply chain intelligenceedited by Kaushik Kumar, J. Paulo Davim.
Reminder of title:	application and optimization /
other author:	Kumar, Kaushik.
Published:	Cham :Springer International Publishing :2020.
Description:	xiv, 174 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Business logisticsData processing.
Online resource:	https://doi.org/10.1007/978-3-030-46425-7
ISBN:	9783030464257$q(electronic bk.)

Supply chain intelligenceapplication and optimization /
Supply chain intelligenceapplication and optimization /[electronic resource] :edited by Kaushik Kumar, J. Paulo Davim. - Cham :Springer International Publishing :2020. - xiv, 174 p. :ill., digital ;24 cm. - Management and industrial engineering,2365-0532. - Management and industrial engineering..

Strategic Sourcing Decisions -- Supply Chain Modeling -- Inventory Modeling and Inventory Control Applications -- Production Planning and Control -- Cold Chain and its Application -- Block Chain and its Application -- Logistics Modeling -- Big Data and its Application to Supply Chain -- Evolutionary Optimization on Supply Chain -- Genetic Algorithm Optimization in Supply Chain -- Hybrid Optimization for Supply Chain.

The book provides an introduction to logistics and supply chain management and the application of evolutionary computation, focusing on specific fields related to supply chain issues, from strategic sourcing decisions, and production planning and control to inventory to logistics and its application using evolutionary / heuristics techniques. Bridging the gap between management research, decision-making and computer analysis, this interdisciplinary book features state-of-the-art descriptions of the corresponding problems and advanced methods for solving them.

ISBN: 9783030464257$q(electronic bk.)

Standard No.: 10.1007/978-3-030-46425-7doiSubjects--Topical Terms:

230874
Business logistics
--Data processing.

LC Class. No.: HD38.5 / .S877 2020

Dewey Class. No.: 658.5

Supply chain intelligenceapplication and optimization /
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245 0 0 $a Supply chain intelligence $h [electronic resource] : $b application and optimization / $c edited by Kaushik Kumar, J. Paulo Davim.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiv, 174 p. : $b ill., digital ; $c 24 cm.
490 1 $a Management and industrial engineering, $x 2365-0532
505 0 $a Strategic Sourcing Decisions -- Supply Chain Modeling -- Inventory Modeling and Inventory Control Applications -- Production Planning and Control -- Cold Chain and its Application -- Block Chain and its Application -- Logistics Modeling -- Big Data and its Application to Supply Chain -- Evolutionary Optimization on Supply Chain -- Genetic Algorithm Optimization in Supply Chain -- Hybrid Optimization for Supply Chain.
520 $a The book provides an introduction to logistics and supply chain management and the application of evolutionary computation, focusing on specific fields related to supply chain issues, from strategic sourcing decisions, and production planning and control to inventory to logistics and its application using evolutionary / heuristics techniques. Bridging the gap between management research, decision-making and computer analysis, this interdisciplinary book features state-of-the-art descriptions of the corresponding problems and advanced methods for solving them.
650 0 $a Business logistics $x Data processing. $3 230874
650 1 4 $a Industrial and Production Engineering. $3 273753
650 2 4 $a Management. $3 180005
650 2 4 $a Logistics. $3 200159
700 1 $a Kumar, Kaushik. $3 814893
700 1 $a Davim, J. Paulo. $3 285883
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830 0 $a Management and industrial engineering. $3 677942
856 4 0 $u https://doi.org/10.1007/978-3-030-46425-7
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