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Implementation of Autonomous Mobile Robots in Intralogistics: Simulations in a Case Study

dc.contributor.authorGuimarães, André
dc.contributor.authorSilva A.
dc.contributor.authorTeixeira J.
dc.contributor.authorGomes F.
dc.contributor.authorMartins S.
dc.date.accessioned2026-02-13T10:10:14Z
dc.date.available2026-02-13T10:10:14Z
dc.date.issued2025en_US
dc.date.updated2026-02-13T00:34:53Z
dc.description.abstractAutonomous Mobile Robots (AMRs) are increasingly being integrated into intralogistics operations, playing a pivotal role in material handling within the Industry 4.0 framework. In this context, a central unit oversees programming and planning decisions, while AMRs independently communicate and negotiate with other resources, such as machines and systems, decentralizing decision-making processes. These advancements have significantly impacted traditional methods and decision-making processes for planning and control. This study analyzes the use of simulation to evaluate AMRs in supplying XYZ factory assembly lines, with a view toward future implementation on the factory floor. Beyond comparisons, the study aims to assess AMR performance to determine their feasibility and provide analytical validation. Various simulation models were developed using SIMIO software to achieve these goals, followed by iterative adaptations and testing through simulation. The findings provide valuable insights into the role of AMRs in Industry 4.0- based production networks. They offer production managers practical guidance for determining optimal configurations and evaluating the performance impacts of AMR-based production networks compared to traditional assembly lines.eng
dc.description.versioninfo:eu-repo/semantics/submittedVersion
dc.identifier.doi01.1678/Csb.30.01.2025.01
dc.identifier.slugcv-prod-4246022
dc.identifier.urihttp://hdl.handle.net/10400.19/9681
dc.language.isoeng
dc.peerreviewedyes
dc.relationCentre for Research in Digital Services
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subjectIntralogistics
dc.subjectIndustry 4.0
dc.subjectAutomation
dc.subjectSimulation
dc.subjectAutonomous Mobile Robot
dc.subjectAutomated Guided Vehicle
dc.titleImplementation of Autonomous Mobile Robots in Intralogistics: Simulations in a Case Studyen_US
dc.typeresearch articleen_US
dspace.entity.typePublication
oaire.awardTitleCentre for Research in Digital Services
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05583%2F2020/PT
oaire.citation.endPage4344
oaire.citation.issue1
oaire.citation.startPage4319
oaire.citation.titleKexue Tongbao/Chinese Science Bulletinen_US
oaire.citation.volume70
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameGuimarães
person.givenNameAndré
person.identifier.ciencia-idAE12-CE94-82B0
person.identifier.orcid0000-0001-6346-5719
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.cv.cienciaidAE12-CE94-82B0 | André Guimarães
rcaap.rightsopenAccessen_US
relation.isAuthorOfPublication6d7402ff-c1c5-44bd-845c-a8300b11da5c
relation.isAuthorOfPublication.latestForDiscovery6d7402ff-c1c5-44bd-845c-a8300b11da5c
relation.isProjectOfPublicationa2335235-05b4-404c-a71e-cc37ae7fbf2c
relation.isProjectOfPublication.latestForDiscoverya2335235-05b4-404c-a71e-cc37ae7fbf2c

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