Toward digital twins for sawmill production planning and control : benefits, opportunities and challenges

DC FieldValueLanguage
dc.contributor.authorChabanet, Sylvain-
dc.contributor.authorEl-Haouzi, Hind Bril-
dc.contributor.authorMorin, Michael-
dc.contributor.authorGaudreault, Jonathan-
dc.contributor.authorThomas, Philippe-
dc.date.accessioned2022-06-22T19:35:51Z-
dc.date.available2022-06-22T19:35:51Z-
dc.date.issued2022-05-12-
dc.identifier.issn0020-7543fr
dc.identifier.urihttp://hdl.handle.net/20.500.11794/73625-
dc.description.abstractSawmills are key elements of the forest product industry supply chain, and they play important economic, social, and environmental roles. Sawmill production planning and control are, however, challenging owing to severalfactors, including, but not limited to, the heterogeneity of the raw material. The emerging concept of digital twins introduced in the context of Industry 4.0 has generated high interest and has been studied in a variety of domains, including production planning and control. In this paper, we investigate the benefits digital twins would bring to the sawmill industry via a literature review on the wider subject of sawmill production planning and control. Opportunities facilitating their implementation, as well as ongoing challenges from both academic and industrial perspectives, are also studied.fr
dc.languageengfr
dc.publisherTaylor and Francisfr
dc.subjectDigital twinfr
dc.subjectSawmillfr
dc.subjectForest product supply chainfr
dc.subjectIndustry 4.0fr
dc.subjectProduction planning and controlfr
dc.titleToward digital twins for sawmill production planning and control : benefits, opportunities and challengesfr
dc.typeCOAR1_1::Texte::Périodique::Revue::Contribution à un journal::Article::Article de recherchefr
dcterms.bibliographicCitationInternational Journal of Production Research (2022)fr
dc.identifier.doi10.1080/00207543.2022.2068086fr
dc.subject.rvmJumeaux numériquesfr
dc.subject.rvmScieriesfr
dc.subject.rvmProduits forestiers -- Industrie -- Planificationfr
dc.subject.rvmSystèmes d'aide à la décisionfr
dc.subject.rvmOrganisation du travailfr
rioxxterms.versionVersion of Recordfr
rioxxterms.version_of_recordhttps://doi.org/10.1080/00207543.2022.2068086fr
ali.license_refAttribution - Pas d'Utilisation Commerciale - Pas de Modification CC BY-NC-NDfr
ali.license_ref.start_date2022-05-12fr
bul.rights.periodeEmbargo0 moisfr
bul.rights.addendumArticle en libre accès (gold): Chabanet, S., H. B. El Haouzi, M. Morin, J. Gaudreault, P. Thomas (2022). Toward digital twins for sawmill production planning and control: benefits, opportunities and challenges. In: International Journal of Production Research.fr
Collection:Articles publiés dans des revues avec comité de lecture

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