Optimization and inventory management /

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Bibliographic Details
Imprint:Singapore : Springer, [2020]
Description:1 online resource : illustrations (some color).
Series:Asset analytics : performance and safety management, 2522-5162
Asset analytics.
Subject:Inventory control -- Mathematical models.
Mathematical optimization.
Inventory control -- Mathematical models.
Mathematical optimization.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12601994
Hidden Bibliographic Details
Other authors / contributors:Shah, Nita H., editor.
Mittal, Mandeep, 1978- editor.
Digital file characteristics:text file PDF
Notes:Online resource; title from PDF title page (SpringerLink, viewed September 18, 2019).
Summary: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.
Other form:Print version: 9789811396977
Print version: 9789811396991
Print version: 9789811397004
Standard no.:10.1007/978-981-13-9698-4