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数据包络分析(DEA)是评价决策单元(DMU)相对有效性的一种重要的工具.供应链效率评价是供应链管理的重要内容,对于衡量供应链目标的实现程度及提供经营决策都具有十分重要的意义.DEA是用于评价供应链效率的一种有效的方法,但是传统的DEA不考虑供应链的内部结构,对系统的相对效率评价偏高;而研究具有串联结构的供应链,考虑把部分中间产品作为最终产品输出,并增加额外中间投入的情形.基于此,建立相应的网络DEA模型,进行了相关理论的研究,给出了弱网络DEA有效的充分条件,以及整个系统弱网络DEA有效与各个子系统网络DEA有效的关系等.
Data envelopment analysis (DEA) is an important tool to evaluate the relative effectiveness of decision-making unit (DMU). Supply chain efficiency evaluation is an important part of supply chain management, and it has the following characteristics in order to measure the realization of supply chain objectives and provide management decision DEA is an effective method to evaluate the efficiency of the supply chain, but the traditional DEA does not consider the internal structure of the supply chain and evaluates the relative efficiency of the system. To study the supply chain with tandem structure, Considering some intermediate products as the final product output and adding extra intermediate investment, a corresponding network DEA model is established and relevant theories are studied. The sufficient conditions for the weak network DEA to be effective and the weakness of the entire system are given. Network DEA effective and various sub-system network DEA effective relationship.