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Designing Supply Chains Using Optimization

Designing Supply Chains Using Optimization

Jairo R. Montoya-Torres
Copyright: © 2014 |Pages: 11
ISBN13: 9781466652026|ISBN10: 1466652020|EISBN13: 9781466652033
DOI: 10.4018/978-1-4666-5202-6.ch068
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MLA

Montoya-Torres, Jairo R. "Designing Supply Chains Using Optimization." Encyclopedia of Business Analytics and Optimization, edited by John Wang, IGI Global, 2014, pp. 726-736. https://doi.org/10.4018/978-1-4666-5202-6.ch068

APA

Montoya-Torres, J. R. (2014). Designing Supply Chains Using Optimization. In J. Wang (Ed.), Encyclopedia of Business Analytics and Optimization (pp. 726-736). IGI Global. https://doi.org/10.4018/978-1-4666-5202-6.ch068

Chicago

Montoya-Torres, Jairo R. "Designing Supply Chains Using Optimization." In Encyclopedia of Business Analytics and Optimization, edited by John Wang, 726-736. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-5202-6.ch068

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Abstract

Part of the planning process in supply chain management consists of finding the best possible configuration, including the definition of product flow from plants to clients (markets) via a set of warehouses. Defining the location of such warehouses is also part of the decision-making problem. This problem is known in the literature as the two-echelon uncapacitated facility location problem (TUFLP) and is known to be NP-hard. This chapter aims at solving this problem using optimization methods baesd on approximate algorithms. Their performance is analyzed using well-known date sets from the academic literature.

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