Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
2015 | 10.1007/s10479-011-0938-8 | Annals OR |
Keywords | Field | DocType |
Data envelopment analysis (DEA),Mixed-objective integer DEA model (MO-IDEA),Efficiency,Improvement | Production–possibility frontier,Integer,Mathematical optimization,Input/output,Performance measurement,Data envelopment analysis,Mathematics | Journal |
Volume | Issue | ISSN |
228 | 1 | 0254-5330 |
Citations | PageRank | References |
1 | 0.36 | 12 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jie Wu | 1 | 409 | 36.02 |
Zhixiang Zhou | 2 | 2 | 1.08 |