Evaluating Two-Stage Network Structures: Bargaining Game Approach

2014 ◽  
pp. 165-187 ◽  
Author(s):  
Juan Du ◽  
Yao Chen ◽  
Wade D. Cook ◽  
Liang Liang ◽  
Joe Zhu
Keyword(s):  
Bargaining Game ◽  
Network Structures ◽  
Two Stage

A bargaining game model for measuring performance of two-stage network structures

2011 ◽  
Vol 210 (2) ◽  
pp. 390-397 ◽  
Author(s):  
Juan Du ◽  
Liang Liang ◽  
Yao Chen ◽  
Wade D. Cook ◽  
Joe Zhu
Keyword(s):  
Bargaining Game ◽  
Game Model ◽  
Network Structures ◽  
Two Stage

A bargaining game model for efficiency decomposition in the centralized model of two-stage systems

2013 ◽  
Vol 64 (1) ◽  
pp. 103-108 ◽  
Author(s):  
Zhongbao Zhou ◽  
Liang Sun ◽  
Wenyu Yang ◽  
Wenbin Liu ◽  
Chaoqun Ma
Keyword(s):  
Bargaining Game ◽  
Game Model ◽  
Two Stage ◽  
Efficiency Decomposition ◽  
Centralized Model

scholarly journals A Unified Approach to Efficiency Decomposition for a Two-Stage Network DEA Model with Application of Performance Evaluation in Banks and Sustainable Product Design

2019 ◽  
Vol 11 (16) ◽  
pp. 4401 ◽  
Author(s):  
Haitao Li ◽  
Jie Xiong ◽  
Jianhui Xie ◽  
Zhongbao Zhou ◽  
Jinlong Zhang
Keyword(s):  
Performance Evaluation ◽  
Product Design ◽  
Bargaining Game ◽  
Nash Bargaining ◽  
Sustainable Product Design ◽  
Two Stage ◽  
Network Dea ◽  
Nash Bargaining Game ◽  
Efficiency Decomposition ◽  
Sustainable Product

Data envelopment analysis (DEA) is a data-driven tool for performance evaluation, benchmarking and multiple-criteria decision-making. This article investigates efficiency decomposition in a two-stage network DEA model. Three major methods for efficiency decomposition have been proposed: uniform efficiency decomposition, Nash bargaining game decomposition, and priority decomposition. These models were developed on the basis of different assumptions that led to different efficiency decompositions and thus confusion among researchers. The current paper attempts to reconcile these differences by redefining the fairness of efficiency decomposition based on efficiency rank, and develops a rank-based model with two parameters. In our new rank-based model, these three efficiency decomposition methods can be treated as special cases where these parameters take special values. By showing the continuity of the Pareto front, we simplify the uniform efficiency decomposition, and indicate that the uniform efficiency decomposition and Nash bargaining game decomposition can converge to the same efficiency decomposition. To demonstrate the merits of our model, we use data from the literature to evaluate the performance of 10 Chinese banks, and compare the different efficiency decompositions created by different methods. Last, we apply the proposed model to the performance evaluation of sustainable product design in the automobile industry.

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

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):  
Network Structures ◽  
Two Stage

Evaluating the efficiency of a two-stage network structure with the use of fractional programming

2017 ◽  
Vol 09 (03) ◽  
pp. 1750034 ◽  
Author(s):  
Reza Ahmadzadeh ◽  
Sohrab Kordrostami ◽  
Alireza Amirteimoori
Keyword(s):  
Linear Model ◽  
Fractional Programming ◽  
Nonlinear Models ◽  
Heuristic Method ◽  
Data Envelopment ◽  
Network Structures ◽  
Two Stage ◽  
Second Stage ◽  
Internal Structures ◽  
Stage Process

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).

Coordinated production target setting for production–pollutant control systems: A DEA two-stage bargaining game approach

2019 ◽  
Vol 71 (8) ◽  
pp. 1216-1232 ◽  
Author(s):  
Jie Wu ◽  
Huanhuan Jiang ◽  
Junfei Chu ◽  
Yuhong Wang ◽  
Xiaohong Liu
Keyword(s):  
Control Systems ◽  
Bargaining Game ◽  
Two Stage ◽  
Target Setting ◽  
Production Target
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