Volume 24, Issue 1 (IJIEPR 2013)                   IJIEPR 2013, 24(1): 81-89 | Back to browse issues page

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Shahandeh Nookabadi A, Yadoolahpour M R, Kavosh S. Optimal Capacities in Discrete Facility Location Design Problem. IJIEPR 2013; 24 (1) :81-89
URL: http://ijiepr.iust.ac.ir/article-1-435-en.html
Optimal Capacities in Discrete Facility Location Design Problem
Ali Shahandeh Nookabadi 1, Mohammad Reza Yadoolahpour2 , Soheila Kavosh2
1- Isfahan University of Tech. , ali-nook@cc.iut.ac.ir
2- Isfahan University of Tech.
Abstract:   (8408 Views)
Network location models comprise one of the main categories of location models. These models have various applications in regional and urban planning as well as in transportation, distribution, and energy management. In a network location problem, nodes represent demand points and candidate locations to locate the facilities. If the links network is unchangeably determined, the problem will be an FLP (Facility Location Problem). However, if links can be added to the network at a reasonable cost, the problem will then be a combination of facility location and NDP (Network Design Problem) hence, called FLNDP (Facility Location Network Design Problem), a more general variant of FLP. In previous studies of this problem, capacity of facilities was considered to be a constraint while capacity of links was not considered at all. The proposed MIP model considers capacity of facilities and links as decision variables. This approach increases the utilization of facilities and links, and prevents the construction of links and location of facilities with low utilization. Furthermore, facility location cost (link construction cost) in the proposed model is supposed to be a function of the associated facility (link) capacity. Computational experiments as well as sensitivity analyses performed indicate the efficiency of the model.
Keywords: Network Location, Network Design Problem, Mixed Integer Programming, Facility Location, Link, Capacity
Full-Text [PDF 1325 kb]   (3763 Downloads)    
Type of Study: Research | Subject: Logistic & Apply Chain
Received: 2012/06/5 | Accepted: 2014/07/21 | Published: 2014/07/21
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