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The network data envelopment analysis models for non-homogenous decision making units based on the sun network structure

Qingyou Yan, Fei Zhao, Xu Wang, Guoliang Yang, Tomas Baležentis () and Dalia Streimikiene
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Qingyou Yan: North China Electric Power University
Fei Zhao: North China Electric Power University
Xu Wang: North China Electric Power University
Guoliang Yang: Chinese Academy of Sciences
Dalia Streimikiene: Lithuanian Institute of Agrarian Economics

Central European Journal of Operations Research, 2019, vol. 27, issue 4, 1221-1244

Abstract: Abstract This paper seeks to propose a network data envelopment analysis (DEA) framework for analysis of heterogeneous systems. The paper introduces the dummy connector so that every network structure can be transformed into the sun network structure. In his case, the dummy connector allows for heterogeneity of the decision making units (DMUs) in terms of their inner structure. Based on the sun network structure, the static and dynamic network DEA models are established. Thus, DMUs with different structures can be evaluated according to the static and dynamic network DEA models. The efficiency of each sub-unit, each period and each sub-unit in each period can also be obtained. Two simulated examples are presented using the static and dynamic DEA models.

Keywords: Data envelopment analysis (DEA); Network DEA; Dynamic DEA; Dummy connector; Heterogeneous structures; Sun network structure (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s10100-018-0560-9

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