Sequential data envelopment analysis

Rolf Färe and Valentin Zelenyuk
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Rolf Färe: Oregon State University

Annals of Operations Research, 2021, vol. 300, issue 1, No 12, 307-312

Abstract: Abstract We consider a new class of Data Envelopment Analysis (DEA) modeling, which we call ‘sequential DEA’. This new approach is a relatively simple generalization of the standard and popular in practice DEA. It allows for analyzing efficiency of the decision making units that consist of a sequence of sub-DMUs (e.g., branches of banks, hospital holding company running a number of hospitals at different locations, hotel chains, etc.). The approach is embedded in the Hilbert sequence space ( $$\ell ^{2}$$ ℓ 2 ) and therefore it allows for potentially different numbers of the sub-DMUs as well as different numbers of inputs and outputs used by different decision making units. We hope this approach will open up a new stream of literature in the sense that many existing variations from the already rich literature on DEA can be adapted to this approach.

Keywords: Data envelopment analysis; Efficiency; Hilbert sequence space (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s10479-020-03924-x

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