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dc.contributor.authorPetridis, Konstantinos-
dc.date.accessioned2023-11-05T08:40:24Z-
dc.date.available2023-11-05T08:40:24Z-
dc.date.issued2022-
dc.identifier10.1007/s10479-020-03747-wen_US
dc.identifier.issn0254-5330en_US
dc.identifier.issn1572-9338en_US
dc.identifier.urihttps://doi.org/10.1007/s10479-020-03747-wen_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/1699-
dc.description.abstractTime 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.en_US
dc.language.isoenen_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.sourceAnnals of Operations Researchen_US
dc.subjectFRASCATI::Natural sciences::Mathematics::Applied Mathematicsen_US
dc.subjectFRASCATI::Social sciences::Economics and Business::Business and Managementen_US
dc.subject.otherData envelopment analysisen_US
dc.subject.otherComputational mathematicsen_US
dc.subject.otherMOPen_US
dc.subject.otherSpatio-temporal efficiencyen_US
dc.subject.otherGAMSen_US
dc.titleSpatio-temporal efficiency measurement under undesirable outputs using multi-objective programming: a GAMS representationen_US
dc.typeArticleen_US
dc.contributor.departmentΤμήμα Οργάνωσης & Διοίκησης Επιχειρήσεωνen_US
local.identifier.volume311en_US
local.identifier.firstpage1183en_US
local.identifier.lastpage1202en_US
Appears in Collections:Department of Business Administration

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