A mixed-objective integer DEA model

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• 作者：Jie Wu ; Zhixiang Zhou
• 关键词：Data envelopment analysis (DEA) ; Mixed ; objective integer DEA model (MO ; IDEA) ; Efficiency ; Improvement
• 刊名：Annals of Operations Research
• 出版年：2015
• 出版时间：May 2015
• 年：2015
• 卷：228
• 期：1
• 页码：81-95
• 全文大小：892 KB
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• 作者单位：Jie Wu (1)
  Zhixiang Zhou (1)
  
  1. Department of Management Science, University of Science and Technology of China, Hefei, Anhui Province, 230026, P.R. China
  
• 刊物类别：Business and Economics
• 刊物主题：Economics
  Operation Research and Decision Theory
  Combinatorics
  Theory of Computation
  
• 出版者：Springer Netherlands
• ISSN：1572-9338

文摘

Traditional efficiency studies using data envelopment analysis (DEA) models considered all input and output variables as continuous, which appears to be unwarranted. Some integer-valued DEA models have been proposed for dealing with the integral constraints in many cases, such as environmental performance measurement, Olympics efficiency assessment, hotel performance evaluation and so on. In existing integer-valued DEA models, the focus is on either input-oriented projection of an inefficient DMU onto the production frontier that aims at reducing input amounts as much as possible while keeping at least the present output levels, or output-oriented projection that maximizes output levels under at most the present input consumption. The present paper develops an integer-valued DEA model that deals with input excesses and output shortfalls simultaneously in a way that maximizes both. An empirical example in the literature is re-examined to compare the DEA model developed here with existing real and integer valued approaches.