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Model predictive control applied to a supply chain management problem

dc.contributor.authorPinho, Tatiana M.
dc.contributor.authorCoelho, João Paulo
dc.contributor.authorMoreira, António Paulo G. M.
dc.contributor.authorBoaventura-Cunha, José
dc.date.accessioned2016-10-10T10:11:15Z
dc.date.available2016-10-10T10:11:15Z
dc.date.issued2016
dc.description.abstractSupply chains are ubiquitous in any commercial delivery systems. The exchange of goods and services, from different supply points to distinct destinations scattered along a given geographical area, requires the management of stocks and vehicles fleets in order to minimize costs while maintaining good quality services. Even if the operating conditions remain constant over a given time horizon, managing a supply chain is a very complex task. Its complexity increases exponentially with both the number of network nodes and the dynamical operational changes. Moreover, the management system must be adaptive in order to easily cope with several disturbances such as machinery and vehicles breakdowns or changes in demand. This work proposes the use of a model predictive control paradigm in order to tackle the above referred issues. The obtained simulation results suggest that this strategy promotes an easy tasks rescheduling in case of disturbances or anticipated changes in operating conditions. © Springer International Publishing Switzerland 2017pt_PT
dc.description.sponsorshipThis work was supported by the FCT – Fundação para a Ciência e Tecnologia through the PhD Studentship SFRH/BD/98032/2013, program POPH - Programa Operacional Potencial Humano and FSE -Fundo Social Europeu.
dc.identifier.citationPinho, T.M.; Coelho, J.P.; Moreira, A.P.; Boaventura-Cunha, J. (2016). Model predictive control applied to a supply chain management problem. In 12th Portuguese Conference on Automatic Control. Guimarães. 402, p.167-177pt_PT
dc.identifier.doi10.1007/978-3-319-43671-5_15
dc.identifier.urihttp://hdl.handle.net/10198/13368
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationMODELOS E SISTEMAS DE CONTROLO PREDITIVO APLICADOS À INDÚSTRIA DE BASE FLORESTAL
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectModel preditive controlpt_PT
dc.subjectSupply chain modellingpt_PT
dc.subjectInteger programming problemspt_PT
dc.subjectTransportation schedulingpt_PT
dc.titleModel predictive control applied to a supply chain management problempt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleMODELOS E SISTEMAS DE CONTROLO PREDITIVO APLICADOS À INDÚSTRIA DE BASE FLORESTAL
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F98032%2F2013/PT
oaire.citation.conferencePlaceGuimarãespt_PT
oaire.citation.endPage177pt_PT
oaire.citation.startPage167pt_PT
oaire.citation.title12th Portuguese Conference on Automatic Controlpt_PT
oaire.citation.volume402pt_PT
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.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication2861f33b-b49a-421d-9bfa-92b4304d2668
relation.isAuthorOfPublication.latestForDiscovery2861f33b-b49a-421d-9bfa-92b4304d2668
relation.isProjectOfPublication2b8ac372-18f6-4b3d-b18c-250638d3e2ac
relation.isProjectOfPublication.latestForDiscovery2b8ac372-18f6-4b3d-b18c-250638d3e2ac

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