Network DEA

Färe, Rolf; Grosskopf, Shawna; Whittaker, Gerald

doi:10.1007/978-0-387-71607-7_12

Cited by 136 publications

(116 citation statements)

References 11 publications

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“…These models represent DMUs composed of two consecutive subunits with one intermediate flow: the output from the first subunit is used as input in the second one. Then, Färe and Grosskopf (2000) extend these models to consider DMUs made of more subunits (see also the book by Färe et al 2007). …”

Section: Network Dea Modelsmentioning

confidence: 98%

Network, Shared Flow and Multi-level DEA Models: A Critical Review

Castelli

Pesenti

2014

International Series in Operations Research &Amp; Management Science

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In the last two decades, complex and detailed DEA models that consider the internal structure of DMUs have been proposed by several authors. This chapter describes the mathematical formulations, along with their main variants, extensions and applications, of three large and popular model families: network (with special emphasis on multi-stage), shared flow (also known as multi-component or multi-activity), and multi-level models. Each family is a different generalization of the same elementary internal structure. This review extends and updates the classification presented in Castelli et al. (Ann Oper Res 173(1):207–235, 2010)

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Section: Network Dea Modelsmentioning

confidence: 98%

Network, Shared Flow and Multi-level DEA Models: A Critical Review

Castelli

Pesenti

2014

International Series in Operations Research &Amp; Management Science

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“…Network models also add additional structure to the transformation process from inputs to outputs in the DEA assessment (see Färe and Grosskopf 2000;Färe et al 2007;Cook and Zhu 2014). Moreover, network DEA can be used to analyze the allocation of resources across various uses.…”

Section: Related Literaturementioning

confidence: 99%

Coordination efficiency in multi-output settings: a DEA approach

2015

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We extend a recently developed methodology for measuring the efficiency of Decision Making Units in the case of multiple inputs and outputs. The methodology accounts for economies of scope through the use of joint inputs, and explicitly includes information about the allocation of inputs to particular outputs. We focus on possible efficiency gains by reallocating inputs across outputs. We introduce a measure of coordination efficiency, which captures these efficiency gains. We demonstrate the practical usefulness of our methodology through an efficiency analysis of education and research conducted at US universities.

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“…Similarly to our use of durable inputs, Färe et al (2007) construct a network DEA model with durable and instantaneous inputs to model technology adoption, where one of the technologies is vintage. Durable inputs are vintage-specific, and the adoption of a new technology is accomplished by diverting instantaneous inputs away from the vintage technology to the new technology.…”

Section: Related Literaturementioning

confidence: 99%

Production with Storable and Durable Inputs: Nonparametric Analysis of Intertemporal Efficiency

2016

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Abstract. We propose a nonparametric methodology for intertemporal production analysis that accounts for durable as well as storable inputs. Durable inputs contribute to the production outputs in multiple consecutive periods. Storable inputs are non-durable and can be stored in inventories for use in future periods. We explicitly model the possibility that firms use several vintages of the durable inputs, i.e. they invest in new durables and scrap older durables over time. Furthermore, we allow for production delays of durable inputs. We characterize production behavior that is dynamically cost efficient, which allows us to evaluate the efficiency of observed production decisions. For cost inefficient behavior, we propose a measure to quantify the degree of inefficiency. An attractive feature of this measure is that it can be decomposed in period-specific cost inefficiencies. We demonstrate the usefulness of our methodology through an application to Swiss railway companies.

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Network DEA

Cited by 136 publications

References 11 publications

Network, Shared Flow and Multi-level DEA Models: A Critical Review

Network, Shared Flow and Multi-level DEA Models: A Critical Review

Coordination efficiency in multi-output settings: a DEA approach

Production with Storable and Durable Inputs: Nonparametric Analysis of Intertemporal Efficiency

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