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

Detalhes bibliográficos
Autor(a) principal: Amado, Carla
Data de Publicação: 2013
Outros Autores: Santos, Sérgio Pereira dos, Sequeira, J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.1/3810
Resumo: A 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.
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spelling Using data envelopment analysis to support the design of process improvement interventions in electricity distributionData envelopment analysisElectricity distributionProcess improvementDesign alternativesA 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.ElsevierSapientiaAmado, CarlaSantos, Sérgio Pereira dosSequeira, J.2014-05-08T13:22:44Z20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.1/3810eng0377-2217AUT: SSA00141; CAM00958;http://dx.doi.org/10.1016/j.ejor.2013.01.015info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-24T10:14:55Zoai:sapientia.ualg.pt:10400.1/3810Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:57:18.644928Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Using data envelopment analysis to support the design of process improvement interventions in electricity distribution
title Using data envelopment analysis to support the design of process improvement interventions in electricity distribution
spellingShingle Using data envelopment analysis to support the design of process improvement interventions in electricity distribution
Amado, Carla
Data envelopment analysis
Electricity distribution
Process improvement
Design alternatives
title_short Using data envelopment analysis to support the design of process improvement interventions in electricity distribution
title_full Using data envelopment analysis to support the design of process improvement interventions in electricity distribution
title_fullStr Using data envelopment analysis to support the design of process improvement interventions in electricity distribution
title_full_unstemmed Using data envelopment analysis to support the design of process improvement interventions in electricity distribution
title_sort Using data envelopment analysis to support the design of process improvement interventions in electricity distribution
author Amado, Carla
author_facet Amado, Carla
Santos, Sérgio Pereira dos
Sequeira, J.
author_role author
author2 Santos, Sérgio Pereira dos
Sequeira, J.
author2_role author
author
dc.contributor.none.fl_str_mv Sapientia
dc.contributor.author.fl_str_mv Amado, Carla
Santos, Sérgio Pereira dos
Sequeira, J.
dc.subject.por.fl_str_mv Data envelopment analysis
Electricity distribution
Process improvement
Design alternatives
topic Data envelopment analysis
Electricity distribution
Process improvement
Design alternatives
description A 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.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
2014-05-08T13:22:44Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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url http://hdl.handle.net/10400.1/3810
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0377-2217
AUT: SSA00141; CAM00958;
http://dx.doi.org/10.1016/j.ejor.2013.01.015
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