Indian Journal of Science and Technology
DOI: 10.17485/ijst/2011/v4i9.5
Year: 2011, Volume: 4, Issue: 9, Pages: 1081-1086
Original Article
Behnam Barzegar and Reza Shahverdi*
1 Young Researchers club, Nowshahr Branch, Islamic Azad University, Nowshahr, Iran, Islamic Republic of
2 Department of Mathematics, Islamic Azad University, Qaemshahr Branch, Qaemshahr, Iran, Islamic Republic of
[email protected]; [email protected]
Data Envelopment Analysis (DEA) is efficient analysis for similar decision making units (DMUs). It provides a ranking of DMUs relative to each other. DAE in addition to determining efficiency level, provides situations for removing inefficiency by using evaluated benchmark information. The Least-Distance Measurement model is proposed in order to shifting inefficiency to the nearest efficient unit which may not applied in real-world problems about convex technology (i.e., the convexity of the production probability function); thus, expanding DEA to non-convexity technology would be improved the potential of applying the Least-Distance Measurement model. This paper proposes extension of Least-Distance Measurement model in non-convexity technology and we will explore Petri Nets for modeling a leastdistance measurement in non-convex space.
Keywords: Data Envelopment Analysis; Least distance; FDH; Benchmarking.
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