Optimal estimating the project completion time and diagnosing the fault in the project
dc.rights.license | Atribución-NoComercial 4.0 Internacional |
dc.contributor.author | Hajali-Mohamad, M. T. |
dc.contributor.author | Mosavi, M. R. |
dc.contributor.author | Shahanaghi, K. |
dc.date.accessioned | 2019-07-02T18:38:33Z |
dc.date.available | 2019-07-02T18:38:33Z |
dc.date.issued | 2016-01-01 |
dc.identifier.issn | ISSN: 2346-2183 |
dc.identifier.uri | https://repositorio.unal.edu.co/handle/unal/60579 |
dc.description.abstract | 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%. |
dc.format.mimetype | application/pdf |
dc.language.iso | spa |
dc.publisher | Universidad Nacional de Colombia (Sede Medellín). Facultad de Minas. |
dc.relation | https://revistas.unal.edu.co/index.php/dyna/article/view/44293 |
dc.relation.ispartof | Universidad Nacional de Colombia Revistas electrónicas UN Dyna |
dc.relation.ispartof | Dyna |
dc.rights | Derechos reservados - Universidad Nacional de Colombia |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ |
dc.subject.ddc | 62 Ingeniería y operaciones afines / Engineering |
dc.title | Optimal estimating the project completion time and diagnosing the fault in the project |
dc.type | Artículo de revista |
dc.type.driver | info:eu-repo/semantics/article |
dc.type.version | info:eu-repo/semantics/publishedVersion |
dc.identifier.eprints | http://bdigital.unal.edu.co/58911/ |
dc.relation.references | 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.accessrights | info:eu-repo/semantics/openAccess |
dc.subject.proposal | Earned Value |
dc.subject.proposal | Plan Value |
dc.subject.proposal | ANFIS |
dc.subject.proposal | PSFS |
dc.subject.proposal | Neural Network |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 |
dc.type.coarversion | http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.content | Text |
dc.type.redcol | http://purl.org/redcol/resource_type/ART |
oaire.accessrights | http://purl.org/coar/access_right/c_abf2 |
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