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dc.contributor.authorZhou, L.
dc.contributor.authorZhang, G.
dc.contributor.authorLiu, Wan-Quan
dc.date.accessioned2018-01-30T07:58:06Z
dc.date.available2018-01-30T07:58:06Z
dc.date.created2018-01-30T05:59:05Z
dc.date.issued2017
dc.identifier.citationZhou, L. and Zhang, G. and Liu, W. 2017. A new method for the selection of distribution centre locations. IMA Journal of Management Mathematics. 28 (3): pp. 421-436.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/59957
dc.identifier.doi10.1093/imaman/dpv021
dc.description.abstract

This paper investigates the distribution centre location problem with inaccurate information, and a general model based on a rough feasible region is established. By means of synthesizing the believable degree of the rough feasible region and objective functions, a solution model termed as rough multi-objective synthesis effect (RMOSE) model is developed; this constitutes a series of crisp multi-objective programming models that reflect different decision consciousness for each decision maker. The optimal solutions of the RMOSE model can be obtained by using the genetic algorithm, and it is demonstrated that the solution of the RMOSE model in proper parameters is same as that of existing model with fuzzy model information. So the proposed RMOSE model is actually an extension of a crisp multi-objective programming model. Two cases of experiments for the distribution centre location problems show that the proposed method can be directly applied to real world practices and it is better than existing methods with fuzzy model information.

dc.publisherOxford University Press
dc.titleA new method for the selection of distribution centre locations
dc.typeJournal Article
dcterms.source.volume28
dcterms.source.number3
dcterms.source.startPage421
dcterms.source.endPage436
dcterms.source.issn1471-678X
dcterms.source.titleIMA Journal of Management Mathematics
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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