利用粗糙集-模糊熵理论指引供应链物流管理  

Using Rough-set Fuzzy Entropy Theory to Guide Supply Chain and Logistics Management

作　　者：刘显铭[1] 

机构地区：[1]湖北理工学院经济与管理学院,湖北黄石435003

出　　处：《物流技术》2012年第12期329-331,共3页Logistics Technology

摘　　要：通过对制造企业供应链物流能力的分析,建立了关于制造企业中生产物流能力、供应物流能力、组织管理能力和销售物流能力四个方面的评价体系。利用粗糙集理论的属性重要性确定子层面指标的权系数,并根据模糊理论中的隶属度函数确定指标隶属等级的矩阵,针对该矩阵,结合熵理论确定供应链物流能力四层面的综合权系数,并以此作为评价标准,实现指标的量化。最后运用建立的指标体系和改进的评价方法对制造业的供应链物流能力进行研究,证实了该方法的有效性。In this paper, we established the evaluation system of the four aspects of the logistics capacity of the manufacturing enterprise supply chain, namely production logistics capacity, supply logistics capacity, organization and management capacity and sales logistics capacity of the manufacturing enterprise. Then we used the attribute importance method of the rough set theory to determine the weighting coefficient of the index on the sublevels and the membership grade function in the fuzzy theory to determine the membership grade matrix of the index. In view of such matrix and through the entropy theory, we identified the comprehensive weighting coefficient of the four capacities of the supply chain. Finally using the index system established and the evaluation method improved, we attested the validity of the method.

关 键 词：供应链物流能力 粗糙集 模糊隶属度 熵理论 

分 类 号：F274[经济管理—企业管理]