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Using data envelopment analysis to support the design of process improvement interventions in electricity distribution

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dc.contributor.authorAmado, Carla
dc.contributor.authorSantos, Sérgio Pereira dos
dc.contributor.authorSequeira, J.
dc.date.accessioned2014-05-08T13:22:44Z
dc.date.available2014-05-08T13:22:44Z
dc.date.issued2013
dc.description.abstractA significant number of studies have documented the use of Data Envelopment Analysis (DEA) for efficiency measurement in the context of electricity distribution, particularly at the level of the distribution utilities. However, their aim has been predominantly descriptive and classificatory, without any attempt to ‘open’ the black box of the transformation process. In contrast, our aim is to explore the potential of DEA to contribute to the design of effective process improvement interventions within a distribution utility. In particular, in this paper, we study an important question within the context of DEA analysis: that is, to investigate whether differences in efficiency can be attributed to a particular managerial programme or design feature. We use two different methodologies to undertake this type of analysis. Firstly, we apply Mann–Whitney rank statistics to the scores obtained from DEA in order to evaluate the statistical significance of the differences observed between an intervention programme and its control group programme. Secondly, we undertake dynamic analysis with the Malmquist Productivity Index in order to study the impact of the introduction of a new technology on a group of units. Our case study focuses on the performance evaluation of medium-voltage power lines belonging to one of the service areas in the Public Electricity Distribution System in Portugal. The results from our case study show that the application of DEA for process improvement interventions has great potential and should be explored in other contexts.por
dc.identifier.doihttp://dx.doi.org/10.1016/j.ejor.2013.01.015
dc.identifier.issn0377-2217
dc.identifier.otherAUT: SSA00141; CAM00958;
dc.identifier.urihttp://hdl.handle.net/10400.1/3810
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0377221713000428por
dc.subjectData envelopment analysispor
dc.subjectElectricity distributionpor
dc.subjectProcess improvementpor
dc.subjectDesign alternativespor
dc.titleUsing data envelopment analysis to support the design of process improvement interventions in electricity distributionpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage235por
oaire.citation.issue1
oaire.citation.startPage226por
oaire.citation.titleEuropean Journal of Operational Researchpor
oaire.citation.volume228por
person.familyNameAmado
person.familyNamePereira dos Santos
person.givenNameCarla
person.givenNameSérgio
person.identifier.ciencia-id2919-AB70-B8D8
person.identifier.ciencia-idD81F-2E2A-9046
person.identifier.orcid0000-0001-6944-5129
person.identifier.orcid0000-0001-9811-3799
person.identifier.ridA-9854-2011
person.identifier.scopus-author-id26534002400
rcaap.rightsopenAccesspor
rcaap.typearticlepor
relation.isAuthorOfPublication8c2831d4-918c-486f-b5da-f41fe3f53eff
relation.isAuthorOfPublicationebe16fd2-b979-4745-a429-026430cc8742
relation.isAuthorOfPublication.latestForDiscoveryebe16fd2-b979-4745-a429-026430cc8742

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