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dc.contributor.authorVillafáñez Cardeñoso, Félix Antonio 
dc.contributor.authorPoza Garcia, David Jesús 
dc.contributor.authorLópez Paredes, Adolfo 
dc.contributor.authorPajares Gutiérrez, Javier 
dc.contributor.authorAcebes Senovilla, Fernando 
dc.date.accessioned2024-01-23T11:17:07Z
dc.date.available2024-01-23T11:17:07Z
dc.date.issued2020
dc.identifier.citationJournal of Project Management, 2020, 5, 103-116es
dc.identifier.issn2371-8366es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/64881
dc.description.abstractThe main issue for portfolio managers is to find a feasible schedule that guarantees the availability of the resources required by the activities at the dates they are scheduled, which is the classical objective of the Resource-Constrained Multi-Project Scheduling Problem (RCMPSP). This paper goes one step further and presents an algorithm that solves the RCMPSP where each project has a different priority for the organization. With this information, the algorithm uses a market-based mechanism to determine what activities should receive preferential treatment during the scheduling process. Therefore, among the multiple possible schedules that comply with the resource constraints (i.e. the solution provided by classical approaches to RCMPSP), our approach allows obtaining a schedule for the portfolio in which, beyond minimizing the duration of the portfolio, the activities are scheduled considering the portfolio manager’s priorities.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherGrowing Sciencees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.titlePortfolio scheduling: an integrative approach of limited resources and project prioritizationes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.5267/j.jpm.2019.12.001es
dc.relation.publisherversionhttps://www.growingscience.com/jpm/Vol5/jpm_2019_27.pdfes
dc.identifier.publicationfirstpage103es
dc.identifier.publicationlastpage116es
dc.identifier.publicationtitleJournal of Project Managementes
dc.identifier.publicationvolume5es
dc.peerreviewedSIes
dc.description.projectThis research has been partially financed by the project ABARNET (Agent-Based Algorithms for Railway NETworks optimization) financed by the Spanish Ministry of Economy, Industry and Com- petitiveness with grant DPI2016-78902-P; the project "Lonja de Impresión 3D para la Industria 4.0 y la Empresa Digital (LONJA3D)" funded by the Regional Government of Castile and Leon and the European Regional Development Fund (ERDF, FEDER) with grant VA049P17; and the project "Nuevos modelos computaciones en Ingeniería de organización: Sistemas de Soporte a la decisión basados en Agentes (SSDBA)" with reference INSISOC-FUNGE/063/160011es
dc.identifier.essn2371-8374es
dc.type.hasVersioninfo:eu-repo/semantics/draftes


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