基于最大有效面集的网络SBM评价模型及其应用  

Network slacks-based measure evaluation method based on maximum frontier set and its application

作　　者：郭文[1] 孙涛[1] 朱建军[1] 

机构地区：[1]南京航空航天大学经济与管理学院,南京211106

出　　处：《控制与决策》2014年第12期2282-2286,共5页Control and Decision

基　　金：国家自然科学基金项目(71171112);教育部人文社科基金项目(11YJA790133);江苏省社科基金重点项目(12EYA001);江苏省软科学重点项目(SBR20130186);江苏省高校哲学社科基金重点项目(2011ZDIXM051);国家建设高水平大学公派研究生基金项目([2014]3026);江苏省研究生培养创新工程项目(KYZZ 0107;CXLX12 0178)

摘　　要：在网络SBM(slacks-based measure)模型评价的基础上,选择生产系统的最大有效面集作为参考集,构建内部子过程存在关联的多阶段复杂生产系统的基于最大有效面集的网络SBM效率评价模型,该模型实际反映了无效生产单元改进为有效生产单元的最优路径.将投入、中间产品和产出三者在子过程的价值分布作为权重引入上述模型子过程的权重设定中,增强了模型实用性.最后采用一个实例验证了该模型在多阶段关联复杂生产系统效率评价中的有效性和优势.On the basis of the evaluation of the network slacks-based measure（SBM） model, the maximum frontier set of the production system is selected as reference sets. The network SBM evaluation method based on the maximum frontier set is built, in which the multi-stage complex production system exists in internal sub-processes. The model reflects that the optimal path of the inefficient production unit is improved as efficiency. By taking the value distribution of inputs, intermediate products and outputs in the sub-process as its weights to introduce into the model, the practicability of the model is enhanced. Finally, an example is given to verify the effectiveness of the model in efficiency evaluation of the multi-stage correlated complex production system.

关 键 词：网络SBM 最大有效面集 系统效率评价 

分 类 号：O224[理学—运筹学与控制论]