DEA Models for Extended Two-Stage Network Structures

2014 ◽  
pp. 261-284 ◽  
Author(s):  
Yongjun Li ◽  
Yao Chen ◽  
Liang Liang ◽  
Jianhui Xie
Keyword(s):  
Network Structures ◽  
Two Stage ◽  
Dea Models

DEA models for extended two-stage network structures

Omega ◽  
2012 ◽  
Vol 40 (5) ◽  
pp. 611-618 ◽  
Author(s):  
Yongjun Li ◽  
Yao Chen ◽  
Liang Liang ◽  
Jianhui Xie
Keyword(s):  
Network Structures ◽  
Two Stage ◽  
Dea Models

scholarly journals Stochastic leader–follower DEA models for two-stage systems

2021 ◽  
Author(s):  
Zhongbao Zhou ◽  
Wenting Sun ◽  
Helu Xiao ◽  
Qianying Jin ◽  
Wenbin Liu
Keyword(s):  
Two Stage ◽  
Dea Models

Two-stage network structures with undesirable outputs: A DEA based approach

Measurement ◽  
2014 ◽  
Vol 48 ◽  
pp. 109-118 ◽  
Author(s):  
Mahnaz Maghbouli ◽  
Alireza Amirteimoori ◽  
Sohrab Kordrostami
Keyword(s):  
Undesirable Outputs ◽  
Network Structures ◽  
Two Stage

Measuring performance of two-stage network structures by DEA: A review and future perspective

Omega ◽  
2010 ◽  
Vol 38 (6) ◽  
pp. 423-430 ◽  
Author(s):  
Wade D. Cook ◽  
Liang Liang ◽  
Joe Zhu
Keyword(s):  
Future Perspective ◽  
Network Structures ◽  
Two Stage

scholarly journals Efficiency Bounds for Two-Stage Production Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Xiao Shi
Keyword(s):  
Production Systems ◽  
Efficiency Score ◽  
Insurance Companies ◽  
Practical Case ◽  
Data Envelopment ◽  
Production Structure ◽  
Two Stage ◽  
Decision Making Unit ◽  
Real World Applications ◽  
Dea Models

Traditional data envelopment analysis (DEA) models find the most desirable weights for each decision-making unit (DMU) in order to estimate the highest efficiency score as possible. These efficiency scores are then used for ranking the DMUs. The main drawback is that the efficiency scores based on weights obtained from the standard DEA models ignore other feasible weights; this is due to the fact that DEA may have multiple solutions for each DMU. To overcome this problem, Salo and Punkka (2011) deemed each DMU as a “Black Box” and developed models to obtain the efficiency bounds for each DMU over sets of all its feasible weights. In many real world applications, there are DMUs that have a two-stage production system. In this paper, we extend the Salo and Punkka’s (2011) model to a more common and practical case considering the two-stage production structure. The proposed approach calculates each DMU’s efficiency bounds for the overall system as well as efficiency bounds for each subsystem/substage. An application for nonlife insurance companies has been discussed to illustrate the applicability of the proposed approach and show the usefulness of this method.

Modeling leakage in two-stage DEA models: An application to US mutual fund families

Omega ◽  
2016 ◽  
Vol 61 ◽  
pp. 62-77 ◽  
Author(s):  
Don U.A. Galagedera ◽  
John Watson ◽  
I.M. Premachandra ◽  
Yao Chen
Keyword(s):  
Mutual Fund ◽  
Two Stage ◽  
Fund Families ◽  
Dea Models ◽  
Mutual Fund Families
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