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المؤلفAlrefaei, Mahmoud
المؤلفAlawneh, Ameen
المؤلفHassan, Mansur
تاريخ الإتاحة2016-05-16T10:55:22Z
تاريخ النشر2014
اسم المنشورApplied Mathematical Sciences
المصدرScopus
الاقتباسMahmoud 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
الرقم المعياري الدولي للكتاب1312-885X
معرّف المصادر الموحدhttp://dx.doi.org/10.12988/ams.2014.46428
معرّف المصادر الموحدhttp://hdl.handle.net/10576/4524
الملخصLinear 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.
اللغةen
الناشرHikari Ltd.
الموضوعFuzzy linear programming
Supply chain management
العنوانFuzzy linear programming for supply chain management in steel industry
النوعArticle
الصفحات5105-5114
رقم العدد103
رقم المجلد8
dc.accessType Open Access


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