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A Mixed Integer Programming Model for Supplier Selection and Order Allocation Problem with Fuzzy Multiobjective

机译:模糊多目标的供应商选择和订单分配问题混合整数规划模型

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摘要

A mixed integer programming model is proposed to solve supplier selection and order allocation problem for a manufacturer. In this model, quality, delivery performance, and purchasing cost are chosen as three criteria to select suppliers and set as objectives. Inventory level, goods flow balance, service level, supply ability, and marketing demand are considered as constraints. In the proposed model, the three objectives have different weights which are given by experts. However, the experts score the weight by many subjective factors. So, the fuzzy analytic hierarchy process (FAHP) based approach is used to calculate the weighted values. In the end, a case study illustrates the advantage of weighted values solved by FAHP. And the result shows that a weighted model is more advantageous for supplier selection and order allocation.
机译:建议混合整数编程模型来解决制造商的供应商选择和订单分配问题。在此模型中,选择质量,交付性能和购买成本作为选择供应商的三个标准,并将其设置为目标。库存水平,货物流量平衡,服务水平,供应能力和营销需求被视为约束。在拟议的模型中,三个目标具有由专家给出的不同权重。但是,专家通过许多主观因素得分重量。因此,基于模糊分析层次处理(FAHP)的方法用于计算加权值。最后,案例研究说明了由FAHP解决的加权值的优点。结果表明,加权模型对供应商选择和顺序分配更有利。

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