Estimation of congestion in free disposal hull models using data envelopment analysis.
This paper deals with evaluating congestion in free disposal hull (FDH) models. There are several approaches in data envelopment analysis (DEA) literatures which discuss the theory and application of congestion. However, almost all of these approaches considered convex DEA technologies. So, in the case of nonconvex technologies, including FDH technology, this field is almost nil. This paper makes an attempt to fill in this void. To do so, this study provides a pairwise comparisons-based algorithm to evaluate congestion in FDH model. This algorithm identifies the sources of congestion and estimates its amounts. It is also capable of detecting the losses amounts of output due to congestion. The validity of the proposed model is demonstrated using some numerical and empirical examples.
Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran 1477893855, Iran.
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M
Abbasi
Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran 1477893855, Iran.
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GR
Jahanshahloo
Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran 1477893855, Iran.
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M
Rostamy-Malkhlifeh
Department of Mathematics, Islamic Azad University, Science and Research Branch, Tehran 1477893855, Iran.
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Hosseinzadeh Lotfi
D000465:Algorithms; D003441:Crowding; D003657:Decision Making; D006801:Humans; D015233:Models, Statistical; D012044:Regression Analysis