Optimal estimating the project completion time and diagnosing the fault in the project
The main objective of the project management team is to implement the project taking into consideration the Budget, schedule and constraints. In addition, project accomplishment, especially with large projects, requires the project to be correctly envisaged. Earned value (EV) management is a valuabl...
- Autores:
-
Hajali-Mohamad, M. T.
Mosavi, M. R.
Shahanaghi, K.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60579
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60579
http://bdigital.unal.edu.co/58911/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
Earned Value
Plan Value
ANFIS
PSFS
Neural Network
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
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Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de Colombiahttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Hajali-Mohamad, M. T.637d2fda-21d0-4dd0-a158-e60c8f55b167300Mosavi, M. R.fbeacbf1-a938-4464-a39c-468fdc530c49300Shahanaghi, K.b5dbf8dc-bbaa-45ea-b2d7-43b5b6b2de323002019-07-02T18:38:33Z2019-07-02T18:38:33Z2016-01-01ISSN: 2346-2183https://repositorio.unal.edu.co/handle/unal/60579http://bdigital.unal.edu.co/58911/The main objective of the project management team is to implement the project taking into consideration the Budget, schedule and constraints. In addition, project accomplishment, especially with large projects, requires the project to be correctly envisaged. Earned value (EV) management is a valuable technique for analyzing and controlling the performance of the project and predicting the total cost before its completion. Thus, fuzzy systems such as Adaptive Network based on the Fuzzy Inference System (ANFIS) and Parallel Structure based on the Fuzzy System (PSFS) are used to predict the project completion time. In this paper, the plan value diagram is used to predict the earn value diagram using three methods. These three methods are based on the PSFS and Neural Networks (NNs), which help with the implementation of the projects in organizations. The results of these three methods decreased the prediction error of the EV diagram by up to 2%.application/pdfspaUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.https://revistas.unal.edu.co/index.php/dyna/article/view/44293Universidad Nacional de Colombia Revistas electrónicas UN DynaDynaHajali-Mohamad, M. T. and Mosavi, M. R. and Shahanaghi, K. (2016) Optimal estimating the project completion time and diagnosing the fault in the project. DYNA, 83 (195). pp. 121-127. ISSN 2346-218362 Ingeniería y operaciones afines / EngineeringEarned ValuePlan ValueANFISPSFSNeural NetworkOptimal estimating the project completion time and diagnosing the fault in the projectArtículo de revistainfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/ARTORIGINAL44293-284288-2-PB.pdfapplication/pdf2259738https://repositorio.unal.edu.co/bitstream/unal/60579/1/44293-284288-2-PB.pdfbeb4c9a0e8a43cdb710fca5a0da006c4MD51THUMBNAIL44293-284288-2-PB.pdf.jpg44293-284288-2-PB.pdf.jpgGenerated Thumbnailimage/jpeg9084https://repositorio.unal.edu.co/bitstream/unal/60579/2/44293-284288-2-PB.pdf.jpg67797616f6abcae0b3524a10261d6b04MD52unal/60579oai:repositorio.unal.edu.co:unal/605792024-04-14 23:11:08.373Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.co |
dc.title.spa.fl_str_mv |
Optimal estimating the project completion time and diagnosing the fault in the project |
title |
Optimal estimating the project completion time and diagnosing the fault in the project |
spellingShingle |
Optimal estimating the project completion time and diagnosing the fault in the project 62 Ingeniería y operaciones afines / Engineering Earned Value Plan Value ANFIS PSFS Neural Network |
title_short |
Optimal estimating the project completion time and diagnosing the fault in the project |
title_full |
Optimal estimating the project completion time and diagnosing the fault in the project |
title_fullStr |
Optimal estimating the project completion time and diagnosing the fault in the project |
title_full_unstemmed |
Optimal estimating the project completion time and diagnosing the fault in the project |
title_sort |
Optimal estimating the project completion time and diagnosing the fault in the project |
dc.creator.fl_str_mv |
Hajali-Mohamad, M. T. Mosavi, M. R. Shahanaghi, K. |
dc.contributor.author.spa.fl_str_mv |
Hajali-Mohamad, M. T. Mosavi, M. R. Shahanaghi, K. |
dc.subject.ddc.spa.fl_str_mv |
62 Ingeniería y operaciones afines / Engineering |
topic |
62 Ingeniería y operaciones afines / Engineering Earned Value Plan Value ANFIS PSFS Neural Network |
dc.subject.proposal.spa.fl_str_mv |
Earned Value Plan Value ANFIS PSFS Neural Network |
description |
The main objective of the project management team is to implement the project taking into consideration the Budget, schedule and constraints. In addition, project accomplishment, especially with large projects, requires the project to be correctly envisaged. Earned value (EV) management is a valuable technique for analyzing and controlling the performance of the project and predicting the total cost before its completion. Thus, fuzzy systems such as Adaptive Network based on the Fuzzy Inference System (ANFIS) and Parallel Structure based on the Fuzzy System (PSFS) are used to predict the project completion time. In this paper, the plan value diagram is used to predict the earn value diagram using three methods. These three methods are based on the PSFS and Neural Networks (NNs), which help with the implementation of the projects in organizations. The results of these three methods decreased the prediction error of the EV diagram by up to 2%. |
publishDate |
2016 |
dc.date.issued.spa.fl_str_mv |
2016-01-01 |
dc.date.accessioned.spa.fl_str_mv |
2019-07-02T18:38:33Z |
dc.date.available.spa.fl_str_mv |
2019-07-02T18:38:33Z |
dc.type.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion.spa.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content.spa.fl_str_mv |
Text |
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http://purl.org/redcol/resource_type/ART |
format |
http://purl.org/coar/resource_type/c_6501 |
status_str |
publishedVersion |
dc.identifier.issn.spa.fl_str_mv |
ISSN: 2346-2183 |
dc.identifier.uri.none.fl_str_mv |
https://repositorio.unal.edu.co/handle/unal/60579 |
dc.identifier.eprints.spa.fl_str_mv |
http://bdigital.unal.edu.co/58911/ |
identifier_str_mv |
ISSN: 2346-2183 |
url |
https://repositorio.unal.edu.co/handle/unal/60579 http://bdigital.unal.edu.co/58911/ |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.relation.spa.fl_str_mv |
https://revistas.unal.edu.co/index.php/dyna/article/view/44293 |
dc.relation.ispartof.spa.fl_str_mv |
Universidad Nacional de Colombia Revistas electrónicas UN Dyna Dyna |
dc.relation.references.spa.fl_str_mv |
Hajali-Mohamad, M. T. and Mosavi, M. R. and Shahanaghi, K. (2016) Optimal estimating the project completion time and diagnosing the fault in the project. DYNA, 83 (195). pp. 121-127. ISSN 2346-2183 |
dc.rights.spa.fl_str_mv |
Derechos reservados - Universidad Nacional de Colombia |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.license.spa.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Atribución-NoComercial 4.0 Internacional Derechos reservados - Universidad Nacional de Colombia http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas. |
institution |
Universidad Nacional de Colombia |
bitstream.url.fl_str_mv |
https://repositorio.unal.edu.co/bitstream/unal/60579/1/44293-284288-2-PB.pdf https://repositorio.unal.edu.co/bitstream/unal/60579/2/44293-284288-2-PB.pdf.jpg |
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