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

机译:模糊优化在供应链网络设计中的应用:以食用植物油生产企业为例

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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.
机译:本研究应用模糊集来整合食用植物油制造商的供应链网络。所提出的模糊多目标线性规划模型试图同时最小化总运输成本。总运输成本的第一部分是在供应商和筒仓之间;剩下的一个在制造商和仓库之间。该方法结合仓库的需求,锡罐和宠物包装生产线的容量,结合了生产/分销网络中的所有运营现状和实际流向。该模型被公式化为一个多目标线性规划模型,其中的数据由三角模糊数建模。最后,将开发的模糊模型用于案例研究,汇编结果并进行讨论。

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