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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Veröffentlicht in:Applied mathematical modelling Jg. 36; H. 6; S. 2762 - 2776
Hauptverfasser: Paksoy, Turan, Pehlivan, Nimet Yapici, Özceylan, Eren
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Inc 01.06.2012
Schlagworte:
Costs
Edible vegetable oil manufacturer
Fuzzy
Fuzzy logic
Fuzzy multi objective linear programming
Fuzzy set theory
Fuzzy supply chain optimization
Mathematical models
Networks
Supply chain management
Supply chains
Triangular fuzzy number
Vegetable oils
Supply chain management
Fuzzy supply chain optimization
Edible vegetable oil manufacturer
Fuzzy multi objective linear programming
Triangular fuzzy number
ISSN:0307-904X
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0307-904X
DOI:10.1016/j.apm.2011.09.060