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Revolutionizing corrugated board production and optimization with artificial intelligence

cris.lastimport.scopus2025-10-23T06:56:26Z
cris.virtual.author-orcid0000-0002-9588-2514
cris.virtualsource.author-orcidae71bc22-fde2-40b2-878c-e07e0e5aad5a
dc.abstract.enIn the field of corrugated board production and packaging optimization, the advent of Artificial Intelligence (AI) has initiated a paradigm shift. This paper presents a brief analysis of AI’s role in revolutionizing both the production of corrugated board and the design of corrugated packaging. It explores the integration of AI in the homogenization process of complex corrugated board structures into single-layer, shallow shell-based computational models, aiming to improve and accelerate load-bearing calculations. This work presents also how AI’s predictive and analytical capabilities are pivotal in achieving efficiency, sustainability, and cost-effectiveness in the corrugated board industry.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Inżynierii Biosystemów
dc.contributor.authorGarbowski, Tomasz
dc.date.access2025-10-09
dc.date.accessioned2025-10-09T10:42:58Z
dc.date.available2025-10-09T10:42:58Z
dc.date.copyright2024-05
dc.date.issued2024
dc.description.abstract<jats:p>In the field of corrugated board production and packaging optimization, the advent of Artificial Intelligence (AI) has initiated a paradigm shift. This paper presents a brief analysis of AI’s role in revolutionizing both the production of corrugated board and the design of corrugated packaging. It explores the integration of AI in the homogenization process of complex corrugated board structures into single-layer, shallow shell-based computational models, aiming to improve and accelerate load-bearing calculations. This work presents also how AI’s predictive and analytical capabilities are pivotal in achieving efficiency, sustainability, and cost-effectiveness in the corrugated board industry.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographybibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.number2
dc.description.versionfinal_published
dc.description.volume19
dc.identifier.doi10.15376/biores.19.2.2003-2006
dc.identifier.issn1930-2126
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/5338
dc.identifier.weblinkhttps://bioresources.cnr.ncsu.edu/resources/revolutionizing-corrugated-board-production-and-optimization-with-artificial-intelligence/
dc.languageen
dc.relation.ispartofBioResources
dc.relation.pages2003-2006
dc.rightsOther
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.encorrugated board
dc.subject.enartificial intelligence
dc.subject.enbox strength
dc.subject.enproduction optimization
dc.subtypeInitialArticle
dc.titleRevolutionizing corrugated board production and optimization with artificial intelligence
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.volume19