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Network data envelopment analysis in uncertain environment
Computers & Industrial Engineering, 2020Abstract In the Network data envelopment analysis, in addition to external inputs and outputs of a decision-making unit, interactions between internal subprocesses are also respected. These interactions could be an essential part of an efficiency assessment of decision-making units, while in many circumstances, they are represented as undetermined ...
Alireza Ghaffari-Hadigheh, Waichon Lio
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Practical applications of Network Data Envelopment Analysis
Economic Analysis: Theory and Practice, 2023Subject. The article considers a methodology for assessing the comparative effectiveness of the activity of homogeneous economic agents, i.e. Data Envelopment Analysis. Objectives. The focus is on systematization and classification of modern practical applications of network Data Envelopment Analysis, identification of types of additional information ...
Svetlana V. RATNER +1 more
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Combined social networks and data envelopment analysis for ranking
European Journal of Operational Research, 2018In this work, we propose a method for ranking efficient decision-making units (DMUs) that uses measures of dominance derived from social network analysis in combination with data envelopment analysis (DEA). For this purpose, a directed and weighted graph is constructed, in which the nodes represent the system's DMUs and the edges represent the ...
Clara Simón de Blas +2 more
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Network Fuzzy Data Envelopment Analysis
2013In this chapter a general approach to handle fuzzy data when the units under analysis are formed by a network of processes is presented. Conventional DEA assumes a single-process that consumes all the different inputs and produces all the different outputs.
Sebastián Lozano, Plácido Moreno
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Bootstrapping in Network Data Envelopment Analysis
2022Data Envelopment Analysis (DEA) is a linear-programming method used to measure the relative efficiency of firms. The objective of this thesis is (i) to study the efficiency of the railway transport process in Europe considering its inner structure and the impact of railway noise on humans and (ii) to study the performance of bootstrapping approaches in
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Multistage network data envelopment analysis: Semidefinite programming approach
Journal of the Operational Research Society, 2018Additive efficiency aggregation is one of the important techniques measuring the relative efficiency of decision-making units under network data envelopment analysis (DEA).
Linyan Zhang, Chuanyin Guo, Fajie Wei
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A network-based approach for increasing discrimination in data envelopment analysis
Journal of the Operational Research Society, 2009Data envelopment analysis (DEA) is known to produce more than one efficient decision-making unit (DMU). This paper proposes a network-based approach for further increasing discrimination among these efficient DMUs. The approach treats the system under study as a directed and weighted network in which nodes represent DMUs and the direction and strength ...
Liu, J.S. +3 more
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Network Topology Design Using Data Envelopment Analysis
IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference, 2007The topology of a network seriously affects its cost, reliability, throughput, and traffic pattern, etc, so we need to simultaneously consider these multiple criteria, which have different units, when evaluating network topologies. However, ordinary methods of network topology design considered only a single criterion.
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Network Data Envelopment Analysis with Fuzzy Data
2013Conventional data envelopment analysis (DEA) treats a system as a whole unit when measuring efficiency, ignoring the operations of the component processes. Network DEA, on the other hand, takes the component processes into consideration, with results that are more representative and can be used to identify inefficient components.
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DEA under big data: data enabled analytics and network data envelopment analysis
Annals of Operations Research, 2020This paper proposes that data envelopment analysis (DEA) should be viewed as a method (or tool) for data-oriented analytics in performance evaluation and benchmarking. While computational algorithms have been developed to deal with large volumes of data (decision making units, inputs, and outputs) under the conventional DEA, valuable information hidden
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