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dc.rights.licenseAtribución-NoComercial 4.0 Internacional
dc.contributor.authorHajali-Mohamad, M. T.
dc.contributor.authorMosavi, M. R.
dc.contributor.authorShahanaghi, K.
dc.date.accessioned2019-07-02T18:38:33Z
dc.date.available2019-07-02T18:38:33Z
dc.date.issued2016-01-01
dc.identifier.issnISSN: 2346-2183
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/60579
dc.description.abstractThe 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.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia (Sede Medellín). Facultad de Minas.
dc.relationhttps://revistas.unal.edu.co/index.php/dyna/article/view/44293
dc.relation.ispartofUniversidad Nacional de Colombia Revistas electrónicas UN Dyna
dc.relation.ispartofDyna
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc62 Ingeniería y operaciones afines / Engineering
dc.titleOptimal estimating the project completion time and diagnosing the fault in the project
dc.typeArtículo de revista
dc.type.driverinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.eprintshttp://bdigital.unal.edu.co/58911/
dc.relation.referencesHajali-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.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalEarned Value
dc.subject.proposalPlan Value
dc.subject.proposalANFIS
dc.subject.proposalPSFS
dc.subject.proposalNeural Network
dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/ART
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2


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Atribución-NoComercial 4.0 InternacionalThis work is licensed under a Creative Commons Reconocimiento-NoComercial 4.0.This document has been deposited by the author (s) under the following certificate of deposit