基于MCDM模型的汽车行业第三方逆向物流供应商的选择  

Selection of Automobile Third Party Reverse Logistics Suppliers Based on MCDM

作　　者：潘爱娟 Pan Aijuan(School of Business, Jiangnan University, Wuxi 214000, China)

机构地区：[1]江南大学商学院,江苏无锡214000

出　　处：《物流技术》2017年第1期117-120,164,共5页Logistics Technology

摘　　要：基于多标准决策,提出基于熵方法、接近理想值法(TOPSIS)和灰色关联分析的整合模型。熵决策得到最初的权重,TOPSIS和灰关联分析得到最终的排序。并根据汽车行业确定和总结了评价标准,以一家中国的汽车制造商案例证明了模型的可行性和有效性。In this paper, based on the multi-standard decision-making process, the TOPSIS and the grey correlation analysis model, we arrived at the initial weighting of the indexes in the selection of the automobile third party reverse logistics suppliers and their final ranking, then summarized and finalized the corresponding evaluation standard, and at the end, proved the feasibility and validity of the model through an empirical case.

关 键 词：第三方逆向物流供应商 MCDM模型 熵 逼近理想值法 灰色关联 

分 类 号：F253[经济管理—国民经济] F224.0