The Analysis of Third Party Logistics Based on Cluster Evaluation Mode

Hechun Wang, Jiabin Wang
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Abstract

With the development of economy, the logistics outsouring gradually increases. It is an important tache to assess and select third party logistics justly and equitably in the outsourcing process of enterprises. And whether an appropriate third party logistics vendor choosed has become the key to enhance the core competence, low logistics cost, optimize inside and outside resource but whether above aims can be achieved depends on the ability and service of logistics vendors. It is of critical importance to the success of enterprise's outsourcing to choose an appropriate third party logistics vendor. However, the evaluations currently are carried out by the evaluators manually through analyzing the financial indices of the third party logistics, which not only is too objective but also break the relevancies among the indices. The index system used to evaluate the business features of the third part logistics is constructed. A quantitative approach is adopted to assess the third part logistics through cluster method of multivariate statistical analysis. The method can be regarded as an important method for classifying third party logistics. Moreover, this method not only overcomes the above drawbacks but also contributes to the classification of the third party logistics vendors on the basis of some objective information provided by this method.
基于聚类评价模型的第三方物流分析
随着经济的发展,物流外包逐渐增多。公正公正地评价和选择第三方物流是企业外包过程中的一个重要环节。而选择合适的第三方物流供应商已成为企业提升核心竞争力、降低物流成本、优化内外部资源的关键,而上述目标能否实现,则取决于物流供应商的能力和服务。选择合适的第三方物流供应商对企业外包的成功与否至关重要。然而,目前的评价都是由评价者通过分析第三方物流的财务指标进行人工评价,不仅过于客观,而且打破了指标之间的关联性。构建了评价第三方物流业务特征的指标体系。采用多元统计分析的聚类方法对第三方物流进行定量评价。该方法可以看作是对第三方物流进行分类的重要方法。该方法不仅克服了上述缺点,而且根据该方法提供的一些客观信息,有助于对第三方物流供应商进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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