Two-Stage Network Structures with Undesirable Intermediate Outputs Reused: A DEA Based Approach

2015 ◽  
Vol 46 (3) ◽  
pp. 455-477 ◽  
Author(s):  
Jie Wu ◽  
Qingyuan Zhu ◽  
Junfei Chu ◽  
Liang Liang
Keyword(s):  
Measurement ◽  
2014 ◽  
Vol 48 ◽  
pp. 109-118 ◽  
Author(s):  
Mahnaz Maghbouli ◽  
Alireza Amirteimoori ◽  
Sohrab Kordrostami

Omega ◽  
2010 ◽  
Vol 38 (6) ◽  
pp. 423-430 ◽  
Author(s):  
Wade D. Cook ◽  
Liang Liang ◽  
Joe Zhu

2017 ◽  
Vol 09 (03) ◽  
pp. 1750034 ◽  
Author(s):  
Reza Ahmadzadeh ◽  
Sohrab Kordrostami ◽  
Alireza Amirteimoori

Recently, network data envelopment analysis (NDEA) models have been developed to evaluate the efficiency of decision making units (DMUs) with internal structures. The network structures range from a simple two-stage process to a complex system. Looking through the literature on two-stage network structures, we see that Li et al. (2012) extended a model by assuming that the inputs to the second stage include both the outputs from the first stage and additional inputs to the second stage. In the current study, a model is proposed to evaluate the performance of these types of general two-stage network structures. To this end, we provide a linear model using fractional programming. In fact, previous models were often nonlinear models which were solved with heuristic methods. But, since the model presented in this paper is a linear model, then it can be solved easily as a linear programming problem. In order to clarify the newly proposed approach of this study, it has been applied to a case of regional Research and Development (R&D) system related to 30 provincial level regions in China and results have been compared with the heuristic method of Li et al. (2012).


Omega ◽  
2012 ◽  
Vol 40 (5) ◽  
pp. 611-618 ◽  
Author(s):  
Yongjun Li ◽  
Yao Chen ◽  
Liang Liang ◽  
Jianhui Xie

Omega ◽  
2019 ◽  
Vol 83 ◽  
pp. 139-154 ◽  
Author(s):  
Feng Li ◽  
Qingyuan Zhu ◽  
Zhi Chen

2011 ◽  
Vol 210 (2) ◽  
pp. 390-397 ◽  
Author(s):  
Juan Du ◽  
Liang Liang ◽  
Yao Chen ◽  
Wade D. Cook ◽  
Joe Zhu

OR Spectrum ◽  
2021 ◽  
Author(s):  
Mohammad Khoveyni ◽  
Robabeh Eslami
Keyword(s):  

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