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Efficiency decomposition with shared inputs and outputs in two-stage DEA

文献类型：期刊论文

作者Li, Lin1,2; Dai, Qianzhi3; Huang, Haijun1; Wang, Shouyang2; Wang Shouyang
刊名JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING
出版日期2016-03-01
卷号25期号:1页码:23-38
ISSN号1004-3756
关键词Data envelopment analysis efficiency decomposition shared outputs centralized model shared inputs
DOI10.1007/s11518-016-5298-0
英文摘要Data envelopment analysis (DEA) is an effective non-parametric method for measuring the relative efficiencies of decision making units (DMUs) with multiple inputs and outputs. In many real situations, the internal structure of DMUs is a two-stage network process with shared inputs used in both stages and common outputs produced by the both stages. For example, hospitals have a two-stage network structure. Stage 1 consumes resources such as information technology system, plant, equipment and admin personnel to generate outputs such as medical records, laundry and housekeeping. Stage 2 consumes the same set of resources used by stage 1 (named shared inputs) and the outputs generated by stage 1 (named intermediate measures) to provide patient services. Besides, some of outputs, for instance, patient satisfaction degrees, are generated by the two individual stages together (named shared outputs). Since some of shared inputs and outputs are hard split up and allocated to each individual stage, it needs to develop two-stage DEA methods for evaluating the performance of two-stage network processes in such problems. This paper extends the centralized model to measure the DEA efficiency of the two-stage process with non splittable shared inputs and outputs. A weighted additive approach is used to combine the two individual stages. Moreover, additive efficiency decomposition models are developed to simultaneously evaluate the maximal and the minimal achievable efficiencies for the individual stages. Finally, an example of 17 city branches of China Construction Bank in Anhui Province is employed to illustrate the proposed approach.
资助项目National Natural Science Foundation of China[71224001] ; China Postdoctoral Science Foundation[2015M571135]
WOS研究方向Operations Research & Management Science
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000371807900002
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/22223]  
专题系统科学研究所
通讯作者Dai, Qianzhi
作者单位1.Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Li, Lin,Dai, Qianzhi,Huang, Haijun,et al. Efficiency decomposition with shared inputs and outputs in two-stage DEA[J]. JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING,2016,25(1):23-38.
APA Li, Lin,Dai, Qianzhi,Huang, Haijun,Wang, Shouyang,&Wang Shouyang.(2016).Efficiency decomposition with shared inputs and outputs in two-stage DEA.JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING,25(1),23-38.
MLA Li, Lin,et al."Efficiency decomposition with shared inputs and outputs in two-stage DEA".JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING 25.1(2016):23-38.

入库方式： OAI收割

来源：数学与系统科学研究院

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