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A multi-objective programming method for solving network DEA

Applied Soft Computing Journal, 2014
The multi-objective programming model is proposed as an alternative approach for solving network DEA.The propositions concerning various cases of possible evaluation settings are developed.Case studies are implemented to examine the network DEA models with multi-objective programming. This study proposes the multi-objective programming (MOP) method for
Han-Ying Kao
exaly   +2 more sources

DEA for non-homogenous parallel networks

Omega, 2015
Abstract In practice, systems are often composed of a group of sub-units. Each sub-unit has a set of performance metrics that are classified as inputs and outputs in data envelopment analysis (DEA). Conventional DEA views such a system as a “black-box”, other DEA-based models are developed to investigate the inner structure, either with a serial ...
Juan Du, Yao Chen, Jiazhen Huo
openaire   +1 more source

DEA models for extended two-stage network structures

Omega, 2012
This chapter discusses DEA modeling technique for a two-stage network process where the inputs of the second stage include both the outputs from the first stage and additional inputs to the second stage. Two models are proposed to evaluate the performance of this type two-stage network structures.
Yongjun Li   +3 more
openaire   +1 more source

Two-stage network models in DEA and DEA-R with desirable and undesirable outputs

Summary: This paper proposes two-stage network models within the frameworks of Data Envelopment Analysis (DEA) and DEA-R, designed to accommodate both desirable and undesirable outputs. These non-radial models are developed under the assumption of constant returns to scale.
Feylizadeh, Mohammad Reza   +3 more
openaire   +1 more source

Franchised Network Efficiency: A DEA Application to US Networks

2007
The concept of performance has been little explored in the franchising literature. In this paper, we explore the franchising network performance, and more specifically the franchising network efficiency, from the franchisor point of view and through a DEA approach (Data Envelopment Analysis) Two main indicators of the franchisor revenues are used: the ...
Carlos Pestana Barros, Rozenn Perrigot
openaire   +1 more source

DEA network computing in multi‐stage parallel processes

International Transactions in Operational Research, 2003
DEA (Data Envelopment Analysis) is a managerial method that has been widely used for performance analysis in various public and private sectors. To deal with large‐scale DEA problems, this research proposes the architecture of DEA network computing (LAN: Local Area Network) that is designed to coordinate a simultaneous use of multiple personal ...
Sueyoshi, Toshiyuki, Honma, Takashi
openaire   +2 more sources

Dynamic Network DEA approach to basketball games efficiency

Journal of the Operational Research Society, 2018
Although Data Envelopment Analysis (DEA) has been widely applied to sports, not many studies are related to basketball.
Gabriel Villa, Sebastián Lozano 0001
openaire   +1 more source

Optimal system design series-network DEA models

Journal of the Operational Research Society, 2011
There is an urgent need in a wide range of fields such as logistics and supply chain management to develop effective approaches to measure and/or optimally design a network system comprised of a set of units. Data envelopment analysis (DEA) researchers have been developing network DEA models to measure decision making units’ (DMUs’) network systems ...
Q. L. Wei, T.-S. Chang
openaire   +1 more source

Additive Efficiency Decomposition in Network DEA

2014
In conventional data envelopment analysis (DEA), decision making units (DMUs) are generally treated as a black-box in the sense that internal structures are ignored, and the performance of a DMU is assumed to be a function of a set of chosen inputs and outputs.
Yao Chen, Wade D. Cook, Joe Zhu
openaire   +1 more source

Network DEA

Socio-Economic Planning Sciences, 2000
Rolf Färe, Shawna Grosskopf
openaire   +1 more source

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