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Routing and schedule simulation of a biomass energy supply chain through SimPy simulation package

dc.contributor.authorPinho, T.M.
dc.contributor.authorCoelho, João Paulo
dc.contributor.authorOliveira, P.M.
dc.contributor.authorOliveira, B.
dc.contributor.authorMarques, A.
dc.contributor.authorRasinmäki, J.
dc.contributor.authorMoreira, António Paulo G. M.
dc.contributor.authorVeiga, G.
dc.contributor.authorBoaventura-Cunha, José
dc.date.accessioned2023-07-31T15:16:12Z
dc.date.available2023-07-31T15:16:12Z
dc.date.issued2020
dc.description.abstractThe optimisation of forest fuels supply chain involves several entities actors, and particularities. To successfully manage these supply chains, efficient tools must be devised with the ability to deal with stakeholders dynamic interactions and to optimize the supply chain performance as a whole while being stable and robust, even in the presence of uncertainties. This work proposes a framework to coordinate different planning levels and event-based models to manage the forest-based supply chain. In particular, with the new methodology, the resilience and flexibility of the biomass supply chain is increased through a closed-loop system based on the system forecasts provided by a discrete-event model. The developed event-based predictive model will be described in detail, explaining its link with the remaining elements. The implemented models and their links within the proposed framework are presented in a case study in Finland and results are shown to illustrate the advantage of the proposed architecture.pt_PT
dc.description.sponsorshipThis work was supported by the FCT - Fundaç~ao para a Ci^encia e Tecnologia through the PhD Studentship SFRH/BD/98032/2013, program POPH - Programa Operacional Potencial Humano and FSE - Fundo Social Europeu. This research has also received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement n. [604286]pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPinho, T.M.; Coelho, João Paulo; Oliveira, P.M.; Oliveira, B.; Marques, A.; Rasinmäki, J.; Moreira, A.P.; Veiga, G.; Boaventura-Cunha, J. (2020). Routing and schedule simulation of a biomass energy supply chain through SimPy simulation package. Applied Computing and Informatics. ISSN 2634-1964. 17:1, p. 36-52pt_PT
dc.identifier.doi10.1016/j.aci.2018.06.004pt_PT
dc.identifier.eissn2210-8327
dc.identifier.issn2634-1964
dc.identifier.urihttp://hdl.handle.net/10198/28638
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherEmeraldpt_PT
dc.relationMODELOS E SISTEMAS DE CONTROLO PREDITIVO APLICADOS À INDÚSTRIA DE BASE FLORESTAL
dc.relationAdvances in FOrestry Control and aUtomation Systems in Europe
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectBiomass supply chainpt_PT
dc.subjectDiscrete-event simulationpt_PT
dc.subjectOperational planningpt_PT
dc.titleRouting and schedule simulation of a biomass energy supply chain through SimPy simulation packagept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMODELOS E SISTEMAS DE CONTROLO PREDITIVO APLICADOS À INDÚSTRIA DE BASE FLORESTAL
oaire.awardTitleAdvances in FOrestry Control and aUtomation Systems in Europe
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F98032%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/EC/FP7/604286/EU
oaire.citation.endPage52pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage36pt_PT
oaire.citation.titleApplied Computing and Informaticspt_PT
oaire.citation.volume17pt_PT
oaire.fundingStreamFP7
person.familyNameCoelho
person.givenNameJoão Paulo
person.identifierR-001-EXZ
person.identifier.ciencia-idD61E-A586-7D4A
person.identifier.orcid0000-0002-7616-1383
person.identifier.ridJ-6887-2013
person.identifier.scopus-author-id55137039300
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameEuropean Commission
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2861f33b-b49a-421d-9bfa-92b4304d2668
relation.isAuthorOfPublication.latestForDiscovery2861f33b-b49a-421d-9bfa-92b4304d2668
relation.isProjectOfPublication2b8ac372-18f6-4b3d-b18c-250638d3e2ac
relation.isProjectOfPublicatione3fb5b58-915e-4ed1-811b-1c888295c6ca
relation.isProjectOfPublication.latestForDiscoverye3fb5b58-915e-4ed1-811b-1c888295c6ca

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