基于概率优势关系粗糙集的第三方物流供应商选择评价

Selection and Evaluation of Third-party Logistics Suppliers Based on Rough Set of Probability Dominance Relations

近年来,大多数企业基于节约成本、提高服务水平和企业持续发展的考虑,选择将非核心的物流业务外包给更高效、更专业的第三方物流供应商。但大多数企业在选择物流供应商时仍选用较为传统的评价方法,主观性较强。因此,文中运用一种不需要确定指标权重、完全依赖原始数据、客观性强的概率优势关系粗糙集选择评价模型,以MY公司为例进行分析,从而得出客观合理的供应商优劣评价结果,验证了该选择评价模型与实际评价结果相符,为企业日后进行第三方物流供应商选择时提供更科学合理的理论选择依据。

In recent years,most companies have chosen to outsource non-core logistics services to more efficient and professional third-party logistics providers based on considerations of cost savings,improved service levels and sustainable development of the enterprise.However,most companies still use more traditional evaluation methods when choosing logistics suppliers,which is more subjective.Therefore,this paper uses a rough set selection evaluation model of probability dominance relations that does not need to determine the index weight,completely depends on the original data,and has strong objectivity.The analysis is carried out with MY company as an example to obtain objective and reasonable evaluation results of supplier advantages and disadvantages.It is verified that the selection evaluation model is consistent with the actual evaluation results,and provides a more scientific and rational theoretical basis for the company to choose a third-party logistics supplier in the future.