Optimization of construction projects budget minimizing risks using the Monte Carlo method

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Garcia, Sergio, Pisfil, Jose Michael, Rodriguez, Sandra, Luna, Roger
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/656565
Enlace del recurso:http://hdl.handle.net/10757/656565
Nivel de acceso:acceso embargado
Materia:contingency
convolutions
Monte Carlo method
qualitative analysis
quantitative analysis
Risks
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network_acronym_str UUPC
network_name_str UPC-Institucional
repository_id_str 2670
dc.title.en_US.fl_str_mv Optimization of construction projects budget minimizing risks using the Monte Carlo method
title Optimization of construction projects budget minimizing risks using the Monte Carlo method
spellingShingle Optimization of construction projects budget minimizing risks using the Monte Carlo method
Garcia, Sergio
contingency
convolutions
Monte Carlo method
qualitative analysis
quantitative analysis
Risks
title_short Optimization of construction projects budget minimizing risks using the Monte Carlo method
title_full Optimization of construction projects budget minimizing risks using the Monte Carlo method
title_fullStr Optimization of construction projects budget minimizing risks using the Monte Carlo method
title_full_unstemmed Optimization of construction projects budget minimizing risks using the Monte Carlo method
title_sort Optimization of construction projects budget minimizing risks using the Monte Carlo method
author Garcia, Sergio
author_facet Garcia, Sergio
Pisfil, Jose Michael
Rodriguez, Sandra
Luna, Roger
author_role author
author2 Pisfil, Jose Michael
Rodriguez, Sandra
Luna, Roger
author2_role author
author
author
dc.contributor.author.fl_str_mv Garcia, Sergio
Pisfil, Jose Michael
Rodriguez, Sandra
Luna, Roger
dc.subject.en_US.fl_str_mv contingency
convolutions
Monte Carlo method
qualitative analysis
quantitative analysis
Risks
topic contingency
convolutions
Monte Carlo method
qualitative analysis
quantitative analysis
Risks
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2021-06-22T13:53:47Z
dc.date.available.none.fl_str_mv 2021-06-22T13:53:47Z
dc.date.issued.fl_str_mv 2020-09-30
dc.type.en_US.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.doi.none.fl_str_mv 10.1109/CONIITI51147.2020.9240241
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/656565
dc.identifier.journal.en_US.fl_str_mv 2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings
dc.identifier.eid.none.fl_str_mv 2-s2.0-85096541743
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85096541743
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 10.1109/CONIITI51147.2020.9240241
2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings
2-s2.0-85096541743
SCOPUS_ID:85096541743
0000 0001 2196 144X
url http://hdl.handle.net/10757/656565
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://ieeexplore.ieee.org/document/9240241
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.en_US.fl_str_mv application/html
dc.publisher.en_US.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv 2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/656565/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
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repository.name.fl_str_mv Repositorio académico upc
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spelling 0a162257eb6493657e3e08f9e2ed1f7ef086b8e9b1dfc18e58f504597c047048300a19bdd30cc46071b55788ba9dcd3e8a1500c0c3c3d565331d8490e47244996f63c6Garcia, SergioPisfil, Jose MichaelRodriguez, SandraLuna, Roger2021-06-22T13:53:47Z2021-06-22T13:53:47Z2020-09-3010.1109/CONIITI51147.2020.9240241http://hdl.handle.net/10757/6565652020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedings2-s2.0-85096541743SCOPUS_ID:850965417430000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.Currently, it is common for the risks in construction projects to generate significant budgetary deviations due to their null or insufficient identification and quantification. In relation to this point, and with the focus on improving the competitiveness of construction companies when developing and complying with their budgets, it is essential to have an accurate methodology for estimating the contingency associated with risks from an early stage. This allows the contingency amount not to be exceeded, resulting in better reliability and adjustment of the budget assigned for the project, and therefore guaranteeing the expected profitability. This objective can be achieved using applications such as the Monte Carlo method, since through the probabilistic simulations that can be developed through it, it is possible to precisely establish the value of the contingency associated with project risks in study. It is recommended to carry out these evaluations and analyzes before the project starts. In this sense, this research focuses on establishing a sequential methodology that serves as an application tool for any type of construction project, ensuring the optimization of the budget by minimizing the risks associated with the project.application/htmlengInstitute of Electrical and Electronics Engineers Inc.https://ieeexplore.ieee.org/document/9240241info:eu-repo/semantics/embargoedAccesscontingencyconvolutionsMonte Carlo methodqualitative analysisquantitative analysisRisksOptimization of construction projects budget minimizing risks using the Monte Carlo methodinfo:eu-repo/semantics/article2020 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2020 - Conference Proceedingsreponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/656565/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/656565oai:repositorioacademico.upc.edu.pe:10757/6565652021-06-22 13:53:48.808Repositorio académico upcupc@openrepository.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Optimization of construction projects budget minimizing risks using the Monte Carlo method
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