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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >An integrated analytic network process with mixed-integer non-linear programming to supplier selection and order allocation
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An integrated analytic network process with mixed-integer non-linear programming to supplier selection and order allocation

机译:混合整数非线性规划的集成分析网络过程,用于供应商选择和订单分配

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摘要

As the global business environment changed, much more commercial and technological competitions evolved in this environment. Consequently, more attention is devoted to the business partners including suppliers. In this paper, supplier selection with order allocation problem is addressed for strategic items with respect to the materials’ characteristics as well as what has been mostly considered in the literature, suppliers’ characteristics. The proposed model comprises an analytic network process (ANP) sub-model to qualify suppliers and filter-suitable candidates among the available ones. Additionally, the ANP sub-model is applied to evaluate suppliers regarding their qualitative attributes which cannot be modeled with mathematical tools properly. Moreover, a mixed-integer non-linear sub-model is presented to simultaneously allocate order quantities to the chosen suppliers. The model is customized to the strategic items by introducing supplier switching cost which is a notable cost component for products. Finally, experimental results and sensitivity analyses are presented to validate the proposed model.
机译:随着全球商业环境的变化,在这种环境下发展了更多的商业和技术竞争。因此,更多的注意力投向了包括供应商在内的商业伙伴。在本文中,针对具有战略意义的物料的材料特性以及在文献中通常考虑的供应商特性,讨论了具有订单分配问题的供应商选择。所提出的模型包括一个分析网络过程(ANP)子模型,用于在可用供应商中限定供应商和适合过滤器的候选人。此外,ANP子模型用于评估供应商的质量属性,而质量属性无法用数学工具正确建模。此外,提出了一个混合整数非线性子模型,以同时将订单数量分配给所选的供应商。通过引入供应商转换成本(该成本是产品的显着成本组成部分)为战略项目量身定制模型。最后,通过实验结果和灵敏度分析来验证所提出的模型。

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