Abstract
One of the advantages of data envelopment analysis (DEA) is to determine benchmarks for inefficient decision making units (DMUs). However, determination of the benchmarks is the result of past performance of DMUs. In other words, the benchmarks do not provide any recommendation for improvement of future efficiency of DMUs. On the other hand, in dynamic DEA models often no DMU gets the efficiency score of unity. In this case, although we can rank the DMUs, we cannot introduce an efficient DMU and benchmarks. To overcome these shortcomings we propose a dynamic ideal DMU using dynamic DEA and scenario-based model of robust. A case study showing the model in use provided.
Original language | English |
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Pages (from-to) | 72-85 |
Number of pages | 14 |
Journal | Measurement: Journal of the International Measurement Confederation |
Volume | 83 |
DOIs | |
Publication status | Published - Apr 1 2016 |
Keywords
- Data envelopment analysis (DEA)
- Dynamic DEA
- Dynamic ideal decision making unit (DIDMU)
- Relative efficiency
- Scenario-based model of robust
- Sustainable suppliers evaluation and ranking
ASJC Scopus subject areas
- Instrumentation
- Electrical and Electronic Engineering