摘要
在考虑备件物流的特性及影响备件物流供应商评价多种因素的基础上,构建备件物流供应商评价指标体系,将隶属函数、信息熵和复合模糊物元有机结合构建备件物流供应商选择评价的复合模糊物元模型,对备件物流供应商的选择评价进行研究。采用关联熵法确定指标权重,通过计算复合模糊物元得到备件物流供应商综合能力评价值并进行排序。实例表明,该模型计算简单,便于应用,为备件物流供应商选择提供了一种合理可行的评价方法。
Considering the characteristics and many factors that influence the evaluation of the spare parts logistics sup- plier, the evaluation index system of spare parts logistics supplier is constructed. On the basis of information entropy and grey relation degree, the results can directly show the integrative capacity of spare parts logistics suppliers and its rank- ing. Results of the case research show that the model is feasible and practical, thus we provide another reasonable and effective evaluation model for the selection of spare parts logistics provider.
出处
《科技管理研究》
CSSCI
北大核心
2013年第3期241-245,共5页
Science and Technology Management Research
基金
山西省软科学研究计划项目"山西省国有煤矿备件物流系统研究"(2010041003-03)
关键词
备件物流供应商
关联熵
复合模糊物元
spare parts logistics provider
relational entropy
complex fuzzy matter- element
