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机构地区:[1]中南大学商学院,湖南长沙410083 [2]湖南汽车工程职业学院,湖南株洲412001
出 处:《科技管理研究》2015年第17期66-70,76,共6页Science and Technology Management Research
基 金:国家自然科学基金项目"不确定环境下再制造逆向物流网络的多周期多目标设计研究"(71071163);湖南省教育厅科学研究项目"基于汽车产业集群的长株潭物流园区发展研究"(12C1265)
摘 要:应用DEA方法中的CCR模型进行效率评价时容易出现多个决策单元同时有效,造成排序困难,原因是每个决策单元都依据最大值原则选择对自己最有利的权重,计算出的效率值普遍偏高,既不合理又难排序。为此提出先基于AHP/GRA方法确定统一的公共权重,然后再计算效率值,最后以长株潭物流企业为例进行实证研究。结果证明,基于DEA-AHP/GRA的效率评价结果更为合理,可对决策单元进行有效排序,其结果反映了长株潭各物流企业效率差距较大的现状。When the CCR model of the DEA method is used in the efficiency evaluation, it is easy to cause problems in sorting because multiple decision making units are effective at the same time. The reason is that each decision unit chooses the best interest of their weights based on the principles of the maximum. The calculated efficiency value is generally on the high side, which is unreasonable and hard to sort. For this reason, a public weight is determined on AHP/GRA method first. Then the efficiency value is calculated. Finally Changsha- Zhuzhou -Xiangtan logistics enterprises are acted as the research object in this case study. It shows that the performance evaluation results based on DEA - AHP/GRA method is more reasonable. It can not only effectively sort the decision making units but also reflect the status quo that the perform- ance gap is large between Changsha- zhuzhou -xiangtan logistic enterprises.
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