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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Abstract	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.
AbstractList	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.
Author	Paksoy, Turan Pehlivan, Nimet Yapici Özceylan, Eren
Author_xml	– sequence: 1 givenname: Turan surname: Paksoy fullname: Paksoy, Turan email: tpaksoy@yahoo.com organization: Selçuk University, Department of Industrial Engineering, Campus 42075, Konya, Turkey – sequence: 2 givenname: Nimet Yapici surname: Pehlivan fullname: Pehlivan, Nimet Yapici email: nimet@selcuk.edu.tr organization: Selçuk University, Department of Statistics, Campus 42075, Konya, Turkey – sequence: 3 givenname: Eren surname: Özceylan fullname: Özceylan, Eren email: eozceylan@selcuk.edu.tr organization: Selçuk University, Department of Industrial Engineering, Campus 42075, Konya, Turkey
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Keywords	Supply chain management Fuzzy supply chain optimization Edible vegetable oil manufacturer Fuzzy multi objective linear programming Triangular fuzzy number
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SubjectTerms	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
Title	Application of fuzzy optimization to a supply chain network design: A case study of an edible vegetable oils manufacturer
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