An inverse DEA model for inputs/outputs estimate

被引:206
作者
Wei, QL
Zhang, JZ [1 ]
Zhang, XS
机构
[1] City Univ Hong Kong, Dept Math, Tat Chee Ave, Kowloon, Peoples R China
[2] Renmin Univ China, Inst OR & Math Econ, Beijing, Peoples R China
[3] Acad Sinica, Inst Appl Math, Beijing 100080, Peoples R China
关键词
data envelopment analysis; inverse problem; multi-objective programming; Pareto solution;
D O I
10.1016/S0377-2217(99)00007-7
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper we discuss such problems: if among a group of decision making units, we increase certain inputs to a particular unit and assume that the DMU maintains its current efficiency level with respect to other units, how much more outputs could the unit produce? or, if the outputs need to be increased to a certain level and the efficiency of the unit remains unchanged, how much more inputs should be provided to the unit? We treat them as inverse Data Envelopment Analysis (DEA) problems and propose a method to solve such problems. The problem is transformed into a multi-objective programming problem to solve, though in some special cases it can be answered by solving just one single-object LP problem. We use two examples to illustrate our computation method. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:151 / 163
页数:13
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