An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project management

Detalhes bibliográficos
Autor(a) principal: Bonato,Felipe Kahan
Data de Publicação: 2019
Outros Autores: Albuquerque,Andrei Aparecido de, Paixão,Michel Augusto Santana da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Gestão & Produção
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2019000300213
Resumo: Abstract The fast changes in the Market make companies increasingly focus on project structures. A project differs from a routine activity because it is unique and must be managed and structured to provide expected benefits at no greater cost than anticipated. Therefore, it must be planned and controlled by identifying the deviations between the planned and the accomplished. In order to provide this monitoring, Earned Value Management (EVM) has been increasing accepted. In addition to showing indicators of progress, EVM can be used to forecast the project's final costs through simulated scenarios. This work aims to integrate and apply EVM with Monte Carlo simulation to predict the final costs of three detailed engineering projects, evaluating the performance of the model and the projects, in each specific case study. The results of the three projects simulations were evaluated in a qualitative and comparative way, showing that the integration between the tools generates useful forecasts for project management.
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spelling An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project managementEVMMonte Carlo simulationProject managementPerformance measurement Abstract The fast changes in the Market make companies increasingly focus on project structures. A project differs from a routine activity because it is unique and must be managed and structured to provide expected benefits at no greater cost than anticipated. Therefore, it must be planned and controlled by identifying the deviations between the planned and the accomplished. In order to provide this monitoring, Earned Value Management (EVM) has been increasing accepted. In addition to showing indicators of progress, EVM can be used to forecast the project's final costs through simulated scenarios. This work aims to integrate and apply EVM with Monte Carlo simulation to predict the final costs of three detailed engineering projects, evaluating the performance of the model and the projects, in each specific case study. The results of the three projects simulations were evaluated in a qualitative and comparative way, showing that the integration between the tools generates useful forecasts for project management.Universidade Federal de São Carlos2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2019000300213Gestão & Produção v.26 n.3 2019reponame:Gestão & Produçãoinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCAR10.1590/0104-530x4641-19info:eu-repo/semantics/openAccessBonato,Felipe KahanAlbuquerque,Andrei Aparecido dePaixão,Michel Augusto Santana daeng2019-08-07T00:00:00Zoai:scielo:S0104-530X2019000300213Revistahttps://www.gestaoeproducao.com/PUBhttps://old.scielo.br/oai/scielo-oai.phpgp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br1806-96490104-530Xopendoar:2019-08-07T00:00Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)false
dc.title.none.fl_str_mv An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project management
title An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project management
spellingShingle An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project management
Bonato,Felipe Kahan
EVM
Monte Carlo simulation
Project management
Performance measurement
title_short An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project management
title_full An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project management
title_fullStr An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project management
title_full_unstemmed An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project management
title_sort An application of Earned Value Management (EVM) with Monte Carlo simulation in engineering project management
author Bonato,Felipe Kahan
author_facet Bonato,Felipe Kahan
Albuquerque,Andrei Aparecido de
Paixão,Michel Augusto Santana da
author_role author
author2 Albuquerque,Andrei Aparecido de
Paixão,Michel Augusto Santana da
author2_role author
author
dc.contributor.author.fl_str_mv Bonato,Felipe Kahan
Albuquerque,Andrei Aparecido de
Paixão,Michel Augusto Santana da
dc.subject.por.fl_str_mv EVM
Monte Carlo simulation
Project management
Performance measurement
topic EVM
Monte Carlo simulation
Project management
Performance measurement
description Abstract The fast changes in the Market make companies increasingly focus on project structures. A project differs from a routine activity because it is unique and must be managed and structured to provide expected benefits at no greater cost than anticipated. Therefore, it must be planned and controlled by identifying the deviations between the planned and the accomplished. In order to provide this monitoring, Earned Value Management (EVM) has been increasing accepted. In addition to showing indicators of progress, EVM can be used to forecast the project's final costs through simulated scenarios. This work aims to integrate and apply EVM with Monte Carlo simulation to predict the final costs of three detailed engineering projects, evaluating the performance of the model and the projects, in each specific case study. The results of the three projects simulations were evaluated in a qualitative and comparative way, showing that the integration between the tools generates useful forecasts for project management.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2019000300213
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0104-530X2019000300213
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0104-530x4641-19
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de São Carlos
publisher.none.fl_str_mv Universidade Federal de São Carlos
dc.source.none.fl_str_mv Gestão & Produção v.26 n.3 2019
reponame:Gestão & Produção
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str UFSCAR
institution UFSCAR
reponame_str Gestão & Produção
collection Gestão & Produção
repository.name.fl_str_mv Gestão & Produção - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv gp@dep.ufscar.br||revistagestaoemanalise@unichristus.edu.br
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