TY - JOUR
T1 - Evaluating and ranking sustainable suppliers by robust dynamic data envelopment analysis
AU - Yousefi, Saeed
AU - Shabanpour, Hadi
AU - Fisher, Ron
AU - Saen, Reza Farzipoor
N1 - Publisher Copyright:
© 2016 Elsevier Ltd. All rights reserved.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - 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.
AB - 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.
KW - Data envelopment analysis (DEA)
KW - Dynamic DEA
KW - Dynamic ideal decision making unit (DIDMU)
KW - Relative efficiency
KW - Scenario-based model of robust
KW - Sustainable suppliers evaluation and ranking
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U2 - 10.1016/j.measurement.2016.01.032
DO - 10.1016/j.measurement.2016.01.032
M3 - Article
AN - SCOPUS:84956986473
SN - 0263-2241
VL - 83
SP - 72
EP - 85
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
ER -