Sangam: A Confluence of Knowledge Streams

A two-stage method for the capacitated multi-facility location-allocation problem

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dc.creator Luis, M
dc.creator Irawan, CA
dc.creator Imran, A
dc.date 2018-11-30T11:56:32Z
dc.date 2019-07-23
dc.date 2018-11-30T11:56:32Z
dc.date.accessioned 2022-05-27T01:03:19Z
dc.date.available 2022-05-27T01:03:19Z
dc.identifier Vol. 35 (3), pp. 366-377
dc.identifier 10.1504/IJOR.2019.101200
dc.identifier http://hdl.handle.net/10871/34939
dc.identifier 1745-7645
dc.identifier International Journal of Operational Research
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/241939
dc.description This is the author accepted manuscript. The final version is available from Inderscience via the DOI in this record
dc.description This paper examines the capacitated planar multi-facility location-allocation problem, where the number of facilities to be located is specified and each of which has a capacity constraint. A two-stage method is put forward to deal with the problem where in the first stage a technique that discretises continuous space into discrete cells is used to generate a relatively good initial facility configurations. In stage 2, a variable neighbourhood search (VNS) is implemented to improve the quality of solution obtained by the previous stage. The performance of the proposed method is evaluated using benchmark datasets from the literature. The numerical experiments show that the proposed method yields competitive results when compared to the best known results from the literature. In addition, some future research avenues are also suggested.
dc.language en
dc.publisher Inderscience
dc.rights 2020-07-23
dc.rights Under embargo until 23 July 2020 in compliance with publisher policy
dc.subject capacitated
dc.subject continuous location problem
dc.subject heuristics
dc.subject variable neighbourhood search
dc.subject VNS
dc.title A two-stage method for the capacitated multi-facility location-allocation problem
dc.type Article


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