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A fuzzy goal programming approach for vendor selection problem in a supply chain

机译:供应链中供应商选择问题的模糊目标规划方法

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摘要

A fuzzy goal programming approach is applied in this paper for solving the vendor selection problem with multiple objectives, in which some of the parameters are fuzzy in nature. A vendor selection problem has been formulated as a fuzzy mixed integer goal programming vendor selection problem that includes three primary goals: minimizing the net cost, minimizing the net rejections, and minimizing the net late deliveries subject to realistic constraints regarding buyer's demand, vendors' capacity, vendors' quota flexibility, purchase value of items, budget allocation to individual vendor, etc. An illustration with a data set from a realistic situation is included to demonstrate the effectiveness of the proposed model. The proposed approach has the capability to handle realistic situations in a fuzzy environment and provides a better decision tool for the vendor selection decision in a supply chain.
机译:本文采用模糊目标规划方法解决了具有多个目标的供应商选择问题,其中一些参数本质上是模糊的。供应商选择问题已被公式化为模糊混合整数目标规划供应商选择问题,该问题包括三个主要目标:最小化净成本,最小化净拒收率以及最小化净延迟交货,但要考虑到有关买方需求,卖方能力的实际限制,供应商的配额灵活性,项目的购买价值,分配给各个供应商的预算等。其中包括一个具有实际情况的数据集的插图,以证明所提出模型的有效性。所提出的方法具有在模糊环境中处理现实情况的能力,并为供应链中的供应商选择决策提供了更好的决策工具。

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