A New Shapley Value-Based Rule for Distributing Delay Costs in Stochastic Projects

UDC.coleccionInvestigación
UDC.departamentoMatemáticas
UDC.grupoInvModelización, Optimización e Inferencia Estatística (MODES)
UDC.inbookTitleTrends in Mathematical, Information and Data Sciences
UDC.institutoCentroCITIC - Centro de Investigación de Tecnoloxías da Información e da Comunicación
UDC.volume445
dc.contributor.authorCosta, Julián
dc.contributor.authorGarcía-Jurado, Ignacio
dc.contributor.authorGonçalves-Dosantos, J.C.
dc.date.accessioned2025-10-24T08:54:51Z
dc.date.available2025-10-24T08:54:51Z
dc.date.issued2023
dc.descriptionThis version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-031-04137-2_2
dc.description.abstract[Abstract]: In this paper we propose a new allocation rule for stochastic projects with delays based on the Shapley value and compare it with another Shapley value-based rule introduced in a recent paper. First we justify the interest of considering a new rule of this kind, then we compare it with the old one in some examples and finally we study some theoretical properties that distinguish them.
dc.description.sponsorshipThis work has been supported by the ERDF, the MINECO/AEI grant MTM2017-87197-C3-1-P and the Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2020-14, and Centro de Investigación del Sistema universitario de Galicia ED431G 2019/01). Juan Carlos Gonçalves-Dosantos has a Margarita Salas postdoctoral grant and he is doing a stay at the Center of Operations Research (CIO), Miguel Hernandez University of Elche (UMH).
dc.description.sponsorshipXunta de Galicia; ED431C-2020-14
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01
dc.identifier.citationCosta, J., García-Jurado, I., Gonçalves-Dosantos, J.C. (2023). A New Shapley Value-Based Rule for Distributing Delay Costs in Stochastic Projects. In: Balakrishnan, N., Gil, M.Á., Martín, N., Morales, D., Pardo, M.d.C. (eds) Trends in Mathematical, Information and Data Sciences. Studies in Systems, Decision and Control, vol 445. Springer, Cham. https://doi.org/10.1007/978-3-031-04137-2_2
dc.identifier.doi10.1007/978-3-031-04137-2_2
dc.identifier.isbn978-3-031-04137-2
dc.identifier.urihttps://hdl.handle.net/2183/46088
dc.language.isoeng
dc.publisherSpringer
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MTM2017-87197-C3-1-P/ES/OPTIMIZACION Y COOPERACION CON APLICACIONES EN ECONOMIA, ENERGIA Y LOGISTICA/
dc.relation.urihttps://doi.org/10.1007/978-3-031-04137-2_2
dc.rights© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.rights.accessRightsopen access
dc.subjectShapley value
dc.subjectStochastic projects
dc.subjectDelay costs
dc.subjectAllocation rule
dc.titleA New Shapley Value-Based Rule for Distributing Delay Costs in Stochastic Projects
dc.typebook part
dspace.entity.typePublication
relation.isAuthorOfPublicationb4c2fa0c-48b8-4512-ad34-1ed4bb223b54
relation.isAuthorOfPublicationcb3b1824-aa6b-4d54-aa7a-780e0247594b
relation.isAuthorOfPublication.latestForDiscoveryb4c2fa0c-48b8-4512-ad34-1ed4bb223b54

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