Application of fuzzy optimization to a supply chain network design: A case study of an edible vegetable oils manufacturer

This study applies fuzzy sets to integrate the supply chain network of an edible vegetable oils manufacturer. The proposed fuzzy multi-objective linear programming model attempts to simultaneously minimize the total transportation costs. The first part of the total transportation costs is between su...

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Bibliographic Details
Published in:Applied mathematical modelling Vol. 36; no. 6; pp. 2762 - 2776
Main Authors: Paksoy, Turan, Pehlivan, Nimet Yapici, Özceylan, Eren
Format: Journal Article
Language:English
Published: Elsevier Inc 01.06.2012
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ISSN:0307-904X
Online Access:Get full text
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Summary:This study applies fuzzy sets to integrate the supply chain network of an edible vegetable oils manufacturer. The proposed fuzzy multi-objective linear programming model attempts to simultaneously minimize the total transportation costs. The first part of the total transportation costs is between suppliers and silos; and rest one is between manufacturer and warehouses. The approach incorporates all operating realities and actual flow patterns at production/distribution network with reference to demands of warehouses, capacities of tin and pet packaging lines. The model has been formulated as a multi objective linear programming model where data are modeled by triangular fuzzy numbers. Finally, the developed fuzzy model is applied for the case study, compiled the results and discussed.
Bibliography:ObjectType-Article-2
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ISSN:0307-904X
DOI:10.1016/j.apm.2011.09.060