Paper Info
Title
A Novel Enhanced Russell Graph Efficiency Measure in Network DEA
Abstract
Hitherto, the presented models for measuring the efficiency score of multi-stage decision-making units (DMUs) either are nonlinear or require to specify the weights for combining their divisional efficiencies. The nonlinearity leads to high computational complexity for these models, especially when used for problems with enormous dimensions, and also assigning various weights to the divisional efficiencies causes to obtain different efficiency scores for the multi-stage network system. To tackle these problems, this study contributes to network DEA by introducing a novel enhanced Russell graph (ERG) efficiency measure for evaluating the general two-stage series network structures. Then, the proposed model is extended into the general multi-stage series network structures. This study also describes the managerial and economic implications of measuring the efficiency score of the multi-stage DMUs and provides two numerical and empirical examples for illustrating the use of our proposed model.
Year
DOI
Venue
2022
10.1142/S0219622022500018
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
Keywords
DocType
Volume
Data envelopment analysis, network DEA, intermediate product, efficiency, slack variable
Journal
21
Issue
ISSN
Citations 
02
0219-6220
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Robabeh Eslami100.68
Mohammad Khoveyni200.34