Group ranking of two-stage production units in network data envelopment analysis

被引：5
|
作者：
Shahbazifar, Mohammad Sajjad [1 ]
Kazemi Matin, Reza [2 ]
Khounsiavash, Mohsen [1 ]
Koushki, Fereshteh [1 ]
机构：
[1] Islamic Azad Univ, Qazvin Branch, Dept Math, Qazvin, Iran
[2] Islamic Azad Univ, Karaj Branch, Dept Math, Karaj, Iran
来源：
RAIRO-OPERATIONS RESEARCH | 2021年 / 55卷 / 03期
关键词：
Data envelopment analysis (DEA); group ranking; network group efficiency (NGE); Network DEA (NDEA); CROSS-EFFICIENCY EVALUATION; DECISION-MAKING UNITS; COMMON WEIGHTS; DEA; DECOMPOSITION; MODEL;
D O I：
10.1051/ro/2021082
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
Data envelopment analysis (DEA) is a useful mathematical tool for evaluating the performance of production units and ranking their relative efficiency. In many real-world applications, production units belong to several separate groups and also consist of several sub-units. In this paper, we introduce a new method of evaluating group efficiency of two-stage production systems. To this end, some new DEA models are introduced for evaluating and ranking groups of production systems based on the average and weakest group performance criteria. Some numerical examples, including an empirical application in the banking industry, are also provided for illustration.
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页码：1825 / 1840
页数：16
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