A. Salehi, F. Hosseinzadeh lotfi, Mohsen Rostamy Malkhalifeh
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A New Method for Recognizing the Input Congestion in Data Envelopment Analysis
: One of the most attractive issues in Data Envelopment Analysis (DEA) is the evaluation of congestion of Decision Making Units (DMUs), which occurs if the decreases in certain inputs lead to increases in certain outputs without worsening any other input or output and equivalently, if the increases in certain inputs lead to decreases in certain outputs without improving any other input or output. Most of the existing approaches for detecting the congestion of DMUs in the literature on DEA employ the traditional definition of congestion and consider the situation in which the inputs and outputs can only change proportionally. This study proposes a method for recognizing the congestion of each input of a selected unit under evaluation for the case when the input and output of the respective unit can change disproportionally. The potential application of the proposed method is illustrated based on a dataset related to 16 institutes of basic research of the Chinese Academy of Sciences (CAS) for the year 2010, which was also reported in the literature.
期刊介绍:
Studies in Informatics and Control journal provides important perspectives on topics relevant to Information Technology, with an emphasis on useful applications in the most important areas of IT.
This journal is aimed at advanced practitioners and researchers in the field of IT and welcomes original contributions from scholars and professionals worldwide.
SIC is published both in print and online by the National Institute for R&D in Informatics, ICI Bucharest. Abstracts, full text and graphics of all articles in the online version of SIC are identical to the print version of the Journal.