Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1699
Title: Spatio-temporal efficiency measurement under undesirable outputs using multi-objective programming: a GAMS representation
Authors: Petridis, Konstantinos
Type: Article
Subjects: FRASCATI::Natural sciences::Mathematics::Applied Mathematics
FRASCATI::Social sciences::Economics and Business::Business and Management
Keywords: Data envelopment analysis
Computational mathematics
MOP
Spatio-temporal efficiency
GAMS
Issue Date: 2022
Source: Annals of Operations Research
Volume: 311
First Page: 1183
Last Page: 1202
Abstract: Time series data in DEA often represent successive versions of the same unit (DMU). In order to assess efficiency of each DMU, several DEA techniques have been employed. One of the problems that conventional DEA models face is that the reference set, when dealing with time series data, is not constructed correctly. This is attributed to the fact that conventional DEA models examine the DMUs and extract their efficiency scores based only the spatial dimension. However, when dealing with time series data for DMUs in the DEA context, the temporal dimension should be also taken into account. This paper is based on Spatio-Temporal DEA (ST-DEA) model (Petridis et al. in Ann Oper Res 238(1–2):475–496, 2016) and extends the presented S-T DEA model by incorporating undesirable inputs/outputs. A GAMS representation of the model for the solution and explanation of ST-DEA model is shown through an illustrative example. The scope of the paper is to analyze the concept of ST-DEA model and demonstrate its applicability via an application explained in GAMS optimization software.
URI: https://doi.org/10.1007/s10479-020-03747-w
https://ruomo.lib.uom.gr/handle/7000/1699
ISSN: 0254-5330
1572-9338
Other Identifiers: 10.1007/s10479-020-03747-w
Appears in Collections:Department of Business Administration

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