Data Envelopment Analyses
Naser Amani; Hadi Bagherzadeh valami
Abstract
Data Envelopment Analysis (DEA) is a method based on linear programming to measure the efficiency of Decision-Making Units (DMU). In classic models of DEA, the whole system had been usually considered as a Decision-Making Units to evaluate respective efficiency and it is also ignored the separate processes ...
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Data Envelopment Analysis (DEA) is a method based on linear programming to measure the efficiency of Decision-Making Units (DMU). In classic models of DEA, the whole system had been usually considered as a Decision-Making Units to evaluate respective efficiency and it is also ignored the separate processes inside the system. Whereas, the internal relations of various sectors of a Decision-Making Unit can have had diverse structures which cause complexity in evaluating its efficiency, because, the type of structures and the performance of these components would have different effects on efficiency of the system. Network standpoint is one of the appropriate ways for the internal relations of units’ modelling and the relation among sub-units in a DMU may be communicated in series, parallel or mixed way. In this paper, a new convert called Star Structure was introduced as a comprehensive one. The one that every structure existing between a Decision-Making Units’ sub-units can easily be converted to such structure so that can accurately evaluate a Decision-Making Units’ efficiency and also using star structure, we evaluated the performance of regional electronic companies in Iran.