A Comparative Study on Performance Measurement of Decision-Making Units: A Case Study in Iranian Tejarat Banks
Author(s) -
M. Hasannezhad,
Seyed Ebrahim Hosseini
Publication year - 2011
Publication title -
advances in operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.379
H-Index - 14
eISSN - 1687-9155
pISSN - 1687-9147
DOI - 10.1155/2011/728982
Subject(s) - rank (graph theory) , computer science , order (exchange) , fuzzy logic , operations research , data mining , econometrics , artificial intelligence , business , economics , mathematics , finance , combinatorics
Nowadays, vicissitude in administrative systems through Performance Measurement (PM) is one of the necessary and inevitable subjects, on which the improvement of efficiency and effectiveness in banking systems depend greatly. In this paper, we focused on efficiency analysis of Tejarat bank branches in order to propose the corrective actions on utilizing resources. Hence, we compute the efficiencies of units based on input-oriented CCR model with three approaches which differ on combination method of inputs and outputs and then rank them by Anderson & Peterson (AP) model. The results represent that the CCR model based on confined fuzzy weights presents the high level of accuracy in identifying efficient units as well as giving useful information on improving the inefficient branches.
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