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A Multi-objective Interval Programming Approach for Vendor Selection Problem in a Supply Chain

机译:供应链中供应商选择问题的多目标区间编程方法

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Effect of information uncertainty in solving a Vendor Selection Problem (VSP) poses some difficulty that is addressed in this paper. VSP is modeled as a multi-objective mixed integer programming problem with interval objective coefficients. For decision maker's preference, the uncertain parameters of the objectives are represented between the intervals, by the left limit, the right limit, the center and the width of an interval. The solution of the model is given as the pareto optimal solution, which provides the quota allocation to the selected vendors against the worst case and the average case respectively. An illustrative example is included to demonstrate the effectiveness of the proposed model.
机译:信息不确定性在解决供应商选择问题(VSP)中的影响姿势在本文中解决了一些困难。 VSP以间隔物镜系数为模型为多目标混合整数编程问题。对于决策者的偏好,目标的不确定参数在间隔之间表示,左限制,右限制,中心和间隔的宽度之间。该模型的解决方案作为Pareto最佳解决方案给出,其分别为所选择的供应商提供与所选供应商的配额分配分别分别和平均案例。包括说明性示例以证明所提出的模型的有效性。

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