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Optimization and inventory management

Shah, Nita H.

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Optimization and inventory management

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization and inventory management/ edited by Nita H. Shah, Mandeep Mittal.
other author:	Shah, Nita H.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	ix, 470 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Inventory control - Mathematical models. -
Online resource:	https://doi.org/10.1007/978-981-13-9698-4
ISBN:	9789811396984

Optimization and inventory management
Optimization and inventory management[electronic resource] /edited by Nita H. Shah, Mandeep Mittal. - Singapore :Springer Singapore :2020. - ix, 470 p. :ill. (some col.), digital ;24 cm. - Asset analytics : performance and safety management,2522-5162. - Asset analytics..

This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models' robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game theory approaches, genetic algorithms, and data mining, as well as research on big data applications for inventory management and control. Starting from deterministic inventory models, the book moves towards advanced inventory models. The content is divided into eight major sections: inventory control and management - inventory models with trade credit financing for imperfect quality items; environmental impact on ordering policies; impact of learning on the supply chain models; EOQ models considering warehousing; optimal ordering policies with data mining and PSO techniques; supply chain models in fuzzy environments; optimal production models for multi-items and multi-retailers; and a marketing model to understand buying behaviour. Given its scope, the book offers a valuable resource for practitioners, instructors, students and researchers alike. It also offers essential insights to help retailers/managers improve business functions and make more accurate and realistic decisions.

ISBN: 9789811396984

Standard No.: 10.1007/978-981-13-9698-4doiSubjects--Topical Terms:

646367
Inventory control
--Mathematical models.

LC Class. No.: TS160 / .O68 2020

Dewey Class. No.: 658.7870151

Optimization and inventory management
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245 0 0 $a Optimization and inventory management $h [electronic resource] / $c edited by Nita H. Shah, Mandeep Mittal.
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300 $a ix, 470 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Asset analytics : performance and safety management, $x 2522-5162
520 $a This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms, and data mining concepts. It also provides sensitivity analyses for the models' robustness. It presents a collection of mathematical models that deal with real industry scenarios. All mathematical model solutions are provided with the help of various optimization techniques to determine optimal ordering policy. The book offers a range of perspectives on the implementation of optimization techniques, inflation, trade credit financing, fuzzy systems, human error, learning in production, inspection, green supply chains, closed supply chains, reworks, game theory approaches, genetic algorithms, and data mining, as well as research on big data applications for inventory management and control. Starting from deterministic inventory models, the book moves towards advanced inventory models. The content is divided into eight major sections: inventory control and management - inventory models with trade credit financing for imperfect quality items; environmental impact on ordering policies; impact of learning on the supply chain models; EOQ models considering warehousing; optimal ordering policies with data mining and PSO techniques; supply chain models in fuzzy environments; optimal production models for multi-items and multi-retailers; and a marketing model to understand buying behaviour. Given its scope, the book offers a valuable resource for practitioners, instructors, students and researchers alike. It also offers essential insights to help retailers/managers improve business functions and make more accurate and realistic decisions.
650 0 $a Inventory control $x Mathematical models. $3 646367
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Operations Research/Decision Theory. $3 890895
650 2 4 $a Operations Research, Management Science. $3 1532996
650 2 4 $a Supply Chain Management. $2 swd $3 1283588
650 2 4 $a Logistics. $3 783981
650 2 4 $a Big Data/Analytics. $3 2186785
700 1 $a Shah, Nita H. $3 3470121
700 1 $a Mittal, Mandeep. $3 3492876
710 2 $a SpringerLink (Online service) $3 836513
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830 0 $a Asset analytics. $3 3379261
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950 $a Business and Management (SpringerNature-41169)