Paksoy, TuranPehlivan, Nimet YapiciOzceylan, Eren2020-03-262020-03-2620120307-904X1872-8480https://dx.doi.org/10.1016/j.apm.2011.09.060https://hdl.handle.net/20.500.12395/27756This 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.en10.1016/j.apm.2011.09.060info:eu-repo/semantics/openAccessSupply chain managementFuzzy supply chain optimizationFuzzy multi objective linear programmingEdible vegetable oil manufacturerTriangular fuzzy numberArticle36627622776Q1WOS:000301404600035Q1