基于分段目标函数的概率规划求解具有价格折扣和概率需求的供应商选择问题

S. Sutrisno, S. Sunarsih, W. Widowati
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引用次数: 4

摘要

本文通过建立一个新的带有分段目标函数的概率规划模型,解决了具有价格折扣和概率需求的供应商选择问题。所提出的模型能够被决策者用来计算最优决策,包括从每个供应商订购适当的原材料数量,以使总采购成本最小。利用随机生成的数据进行了数值实验,结果表明,该模型能较好地解决供应商选择问题,并获得最优决策值。
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Probabilistic Programming with Piecewise Objective Function for Solving Supplier Selection Problem with Price Discount and Probabilistic Demand
In this article, a supplier selection problem with price discount and probabilistic demand was solved by formulating a new probabilistic programming model with a piecewise objective function. The proposed model was able to be used by the decision-maker to calculate the optimal decision involving the appropriate raw material quantity to be ordered from each supplier to have minimal total procurement cost. A numerical experiment was conducted with some randomly generated data and the results showed the supplier selection problem was solved by the proposed model and the optimal decision value is achieved.
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