基于不确定性信息的物流企业综合选择方法

W. Ying, Jiang Baoping, Zhou Feng, Z. Di, Liu Yixiang
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引用次数: 0

摘要

由于物流企业提供的服务种类繁多,因此选择最优的物流企业是制造企业的关键目的之一。考虑到企业规模、运输能力和库存能力等重要的不确定性因素,提出了一种基于数据包络分析(DEA)和多属性决策(MADM)的综合方法,可以可靠地评价企业的物流效率,选择最优的物流企业。最后给出了一个企业选择实例,结果表明该方法对于选择更优的物流企业是有效可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrated Approach to Select Logistics Enterprise Based on Uncertainty Information
Since multifarious service will be provided by logistics enterprises, selecting an optimal logistics enterprise is one pivotal purpose of the manufacture enterprises. Considering the important uncertainty factors such as enterprise magnitude, transport capability and stockpile capability, an integrated approach (IA) based on the Data Envelopment Analysis (DEA) and Multi-Attribute Decision Making (MADM) was put forward, which could evaluate the logistics efficiency of the enterprises and select the optimal logistics enterprise reliably. At last, an enterprise selecting example was provided, and the result illuminated the approach was effective and feasible to select more optimal logistics enterprise.
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