基于模糊度量的集群供应链供应商选择

Jizi Li, Baishu Li, Zhiping Li
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引用次数: 4

摘要

集群式供应链运行过程中的不确定性提出了灵活性问题,其中供应前置时间和需求数量是集群式供应链中最常见的两个变化。针对集群式供应链的柔性问题,应用模糊集理论对变量进行表示,建立了集群式供应链柔性模型。在此基础上,提出了一种供应商选择方法。最后给出了一个实例进行说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selecting Supplier of Cluster Supply Chain Based on Fuzzy Measurement
Uncertainty in operation process of cluster supply chain raises the issue of flexibility, where the supply lead-time and demand quantity are the two most common changes occurring in cluster supply chain. Focusing on the flexibility of cluster supply chain, the fuzzy set theory was applied to give the representation for the variables, and model the cluster supply chain flexibility. Besides it, a supplier selection method was developed. Finally, an illustrative example was given for demonstration.
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