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Meta-Heuristic Approaches for Supply Chain Management

Meta-Heuristic Approaches for Supply Chain Management

Srinivasan S. P.
Copyright: © 2019 |Pages: 10
ISBN13: 9781522572992|ISBN10: 1522572996|ISBN13 Softcover: 9781522586265|EISBN13: 9781522573005
DOI: 10.4018/978-1-5225-7299-2.ch005
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MLA

Srinivasan S. P. "Meta-Heuristic Approaches for Supply Chain Management." Hierarchical Planning and Information Sharing Techniques in Supply Chain Management, edited by Atour Taghipour, IGI Global, 2019, pp. 153-162. https://doi.org/10.4018/978-1-5225-7299-2.ch005

APA

Srinivasan S. P. (2019). Meta-Heuristic Approaches for Supply Chain Management. In A. Taghipour (Ed.), Hierarchical Planning and Information Sharing Techniques in Supply Chain Management (pp. 153-162). IGI Global. https://doi.org/10.4018/978-1-5225-7299-2.ch005

Chicago

Srinivasan S. P. "Meta-Heuristic Approaches for Supply Chain Management." In Hierarchical Planning and Information Sharing Techniques in Supply Chain Management, edited by Atour Taghipour, 153-162. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-7299-2.ch005

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Abstract

Supply chain management (SCM) is essentially a set of approaches utilized to efficiently integrate suppliers, manufacturers, warehouses, and stores, so that merchandise is produced and distributed at the right quantities, to the right locations, and at the right time in order to minimize system-wide costs or maximize profits while satisfying service level requirements. To solve complex problems in SCM and to obtain optimization, various meta-heuristics algorithms can be used. Thus, this chapter discusses the background of meta-heuristics algorithms. The related work and future research direction for using meta-heuristics approaches for supply chain management are addressed in this chapter.

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