Combination of MCDM and covering techniques in a hierarchical model for facility location:: A case study

Reza Zanjirani Farahani; Nasrin Asgari

doi:10.1016/j.ejor.2005.10.039

Combination of MCDM and covering techniques in a hierarchical model for facility location: A case study

Reza Zanjirani Farahani, Nasrin Asgari

Research output: Contribution to journal › Article

Abstract

In this paper, locating some warehouses as distribution centers (DCs) in a real-world military logistics system will be investigated. There are two objectives: finding the least number of DCs and locating them in the best possible locations. The first objective implies the minimum cost of locating the facilities and the latter expresses the quality of the DCs locations, which is evaluated by studying the value of appropriate attributes affecting the quality of a location. Quality of a location depends on a number of attributes; so the value of each location is determined by using Multi Attribute Decision Making models, by considering the feasible alternatives, the related attributes and their weights according to decision maker's (DM) point of view. Then, regarding the obtained values and the minimum number of DCs, the two objective functions are formed. Constraints imposed on these two objectives cover all centers, which must be supported by the DCs. Using Multiple Objective Decision Making techniques, the locations of DCs are determined. In the final phase. we use a simple set partitioning model to assign each supported center to only one of the located DCs. (c) 2006 Elsevier B.V. All rights reserved.

Original language	English
Pages (from-to)	1839-1858
Journal	European Journal of Operational Research
Volume	176
Issue number	3
DOIs	https://doi.org/10.1016/j.ejor.2005.10.039
Publication status	Published - 2007

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10.1016/j.ejor.2005.10.039

http://dx.doi.org/10.1016/j.ejor.2005.10.039

Cite this

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title = "Combination of MCDM and covering techniques in a hierarchical model for facility location:: A case study",

abstract = "In this paper, locating some warehouses as distribution centers (DCs) in a real-world military logistics system will be investigated. There are two objectives: finding the least number of DCs and locating them in the best possible locations. The first objective implies the minimum cost of locating the facilities and the latter expresses the quality of the DCs locations, which is evaluated by studying the value of appropriate attributes affecting the quality of a location. Quality of a location depends on a number of attributes; so the value of each location is determined by using Multi Attribute Decision Making models, by considering the feasible alternatives, the related attributes and their weights according to decision maker's (DM) point of view. Then, regarding the obtained values and the minimum number of DCs, the two objective functions are formed. Constraints imposed on these two objectives cover all centers, which must be supported by the DCs. Using Multiple Objective Decision Making techniques, the locations of DCs are determined. In the final phase. we use a simple set partitioning model to assign each supported center to only one of the located DCs. (c) 2006 Elsevier B.V. All rights reserved.",

author = "Farahani, {Reza Zanjirani} and Nasrin Asgari",

year = "2007",

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N2 - In this paper, locating some warehouses as distribution centers (DCs) in a real-world military logistics system will be investigated. There are two objectives: finding the least number of DCs and locating them in the best possible locations. The first objective implies the minimum cost of locating the facilities and the latter expresses the quality of the DCs locations, which is evaluated by studying the value of appropriate attributes affecting the quality of a location. Quality of a location depends on a number of attributes; so the value of each location is determined by using Multi Attribute Decision Making models, by considering the feasible alternatives, the related attributes and their weights according to decision maker's (DM) point of view. Then, regarding the obtained values and the minimum number of DCs, the two objective functions are formed. Constraints imposed on these two objectives cover all centers, which must be supported by the DCs. Using Multiple Objective Decision Making techniques, the locations of DCs are determined. In the final phase. we use a simple set partitioning model to assign each supported center to only one of the located DCs. (c) 2006 Elsevier B.V. All rights reserved.

AB - In this paper, locating some warehouses as distribution centers (DCs) in a real-world military logistics system will be investigated. There are two objectives: finding the least number of DCs and locating them in the best possible locations. The first objective implies the minimum cost of locating the facilities and the latter expresses the quality of the DCs locations, which is evaluated by studying the value of appropriate attributes affecting the quality of a location. Quality of a location depends on a number of attributes; so the value of each location is determined by using Multi Attribute Decision Making models, by considering the feasible alternatives, the related attributes and their weights according to decision maker's (DM) point of view. Then, regarding the obtained values and the minimum number of DCs, the two objective functions are formed. Constraints imposed on these two objectives cover all centers, which must be supported by the DCs. Using Multiple Objective Decision Making techniques, the locations of DCs are determined. In the final phase. we use a simple set partitioning model to assign each supported center to only one of the located DCs. (c) 2006 Elsevier B.V. All rights reserved.

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DO - 10.1016/j.ejor.2005.10.039

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