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Identifying the efficiency status in network DEA
European Journal of Operational Research, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fukuyama, Hirofumi, Mirdehghan, S. M.
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Two-Stage Network DEA with Bad Outputs
2014Conventional black-box DEA models allow producer performance to be measured for technologies where undesirable outputs are jointly produced by-products of desirable output production. These models allow for non-radial scaling of desirable outputs, undesirable outputs, and inputs and can account for slacks in the constraints that define the technology ...
Hirofumi Fukuyama, William L. Weber
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Optimal system design series-network DEA models
Journal of the Operational Research Society, 2011There 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
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Franchised Network Efficiency: A DEA Application to US Networks
2007The 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
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Distribution network rationalisation through benchmarking with DEA
Benchmarking: An International Journal, 2012PurposeThe purpose of this paper is to discuss the use of data envelopment analysis (DEA) to benchmark store performance for the purpose of rationalising retail distribution network.Design/methodology/approachAs an illustration of the approach, DEA is applied to a sample of front stores of a major retailer in Australia to compare their relative ...
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Two-Stage Network Processes: DEA Frontier Identification
2014The current chapter focuses on how to identify DEA frontier when decision making units (DMUs) are in forms of two-stage network processes. In these two stage network processes, all the outputs from the first stage are intermediate measures that make up the inputs to the second stage. Due to the existence of intermediate measures, the usual procedure of
Yao Chen, Wade D. Cook, Joe Zhu
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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
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DEA Models for Two-Stage Network Processes
2014While the definition of a DMU is generic and DMUs can be in various forms such as hospitals, products, universities, cities, courts, business firms, and others, DMUs can have a two-stage structure in many cases. For example, banks use labor and assets to generate deposits which are in turn used to generate load incomes.
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