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 m attempts to simultaneously minimize the total transportation costs. The first part of total transportation costs is between suppliers and silos; and rest one is between manufacturer and warehouses. The approach incorporates all operating realities and actual patterns at production/distribution network with reference to demands of warehouse 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 numb Finally, the developed fuzzy model is applied for the case study, compiled the re ! and discussed. (C) 2011 Elsevier Inc. All rights reserved.