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AuthorAlrefaei, Mahmoud
AuthorAlawneh, Ameen
AuthorHassan, Mansur
Available date2016-05-16T10:55:22Z
Publication Date2014
Publication NameApplied Mathematical Sciences
CitationMahmoud Alrefaei, Ameen Alawneh, Mansur Hassan "Fuzzy linear programming for supply chain management in steel industry" Applied Mathematical Sciences, Vol. 8, 2014, no. 103, 5105-5114
ISSN1312-885X
URIhttp://dx.doi.org/10.12988/ams.2014.46428
URIhttp://hdl.handle.net/10576/4524
AbstractLinear programming is one of the frequently applied tools in supply chain management. However, managers and decision makers may lack information about exact values of most of the parameters used in the optimization models. Fortunately, fuzzy linear programming comes up with a powerful tool to deal with this kind of incomplete data. In this paper, the exible approach of fuzzy linear programming is proposed and used to solve supply chain management of steel manufacturing company. This approach reformulated some constraints from conventional linear programming to fuzzy linear programming and provides alternative solutions to decision makers. The results obtained indicate that the fuzzy linear programming gives more exibility to the decision maker to achieve some aspiration level in order to choose what he considers as the best optimal solution.
Languageen
PublisherHikari Ltd.
SubjectFuzzy linear programming
SubjectSupply chain management
TitleFuzzy linear programming for supply chain management in steel industry
TypeArticle
Pagination5105-5114
Issue Number103
Volume Number8


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