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Enhanced Real-Time Maintenance Management Model - A Step toward Industry 4.0 through Lean: Conveyor Belt Operation Case Study

2023Journal article Open access
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dc.contributor.authorMendes, David
dc.contributor.authorGaspar, Pedro Dinis
dc.contributor.authorCharrua-Santos, Fernando
dc.contributor.authorNavas, Helena V. G.
dc.date.accessioned2024-01-23T10:52:09Z
dc.date.available2024-01-23T10:52:09Z
dc.date.issued2023
dc.description.abstractConveyor belts (CBs) are widely used for the continuous transport of bulk materials. CBs must be extremely reliable due to the cost associated with their failure in continuous production systems. Thus, it is highly relevant in terms of maintenance and planning to find solutions to reduce the existing stoppages from these assets. In this sense, it is essential to monitor and collect real-time data from this piece of equipment. This work presents a case study, where a model that combines the Lean Philosophy, Total Productive Maintenance (TPM), and the enabling technologies of Industry 4.0 is applied to a CB. The proposed model monitors the CB and provides data on its operation, which, using the calculation of indicators, allows a more accurate and thorough view and evaluation, contributing to improving and supporting decision making by those responsible for maintenance. The data collected by the sensor help those responsible for maintenance and production, in the readjustment of more accurate and optimized planning, programming, and execution, supporting decision making in these areas. During the field test of a two-hour monitoring period (10 a.m. to 12 p.m.), the model identified six stoppages, resulting in approximately 88.6% of operational time for the conveyor. The field test showed that this model can result in more accurate maintenance decision making than conventional approaches. This research also contributes to the advancement of electronics and industrial automation sectors by empowering companies to transform maintenance methodologies. The potential of this approach and its implications for enhanced productivity and overall performance are therefore highlighted.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMendes, D.; Gaspar, P.D.; Charrua-Santos, F.; Navas, H. Enhanced Real-Time Maintenance Management Model—A Step toward Industry 4.0 through Lean: Conveyor Belt Operation Case Study. Electronics 2023, 12, 3872. https://doi.org/ 10.3390/electronics12183872pt_PT
dc.identifier.doi10.3390/electronics12183872pt_PT
dc.identifier.issn2079-9292
dc.identifier.urihttp://hdl.handle.net/10400.6/14111
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationResearch and Development Unit for Mechanical and Industrial Engineering
dc.relationResearch and Development Unit for Mechanical and Industrial Engineering
dc.relationCentre for Mechanical and Aerospace Science and Technologies
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectMaintenancept_PT
dc.subjectMaintenance managementpt_PT
dc.subjectIndustry 4.0pt_PT
dc.subjectTPMpt_PT
dc.subjectLean philosophypt_PT
dc.subjectIoTpt_PT
dc.subjectSensorspt_PT
dc.subjectReal-time monitoringpt_PT
dc.subjectConveyor beltpt_PT
dc.subjectModelpt_PT
dc.titleEnhanced Real-Time Maintenance Management Model - A Step toward Industry 4.0 through Lean: Conveyor Belt Operation Case Studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch and Development Unit for Mechanical and Industrial Engineering
oaire.awardTitleResearch and Development Unit for Mechanical and Industrial Engineering
oaire.awardTitleCentre for Mechanical and Aerospace Science and Technologies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00667%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00667%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00151%2F2020/PT
oaire.citation.titleElectronicspt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMendes
person.familyNameGaspar
person.familyNameCharrua Santos
person.familyNameNavas
person.givenNameDavid
person.givenNamePedro Dinis
person.givenNameFernando
person.givenNameHelena
person.identifier2344256
person.identifier.ciencia-id6111-9F05-2916
person.identifier.ciencia-id891F-446B-B649
person.identifier.ciencia-id7D1D-CC31-F563
person.identifier.orcid0000-0002-4242-4763
person.identifier.orcid0000-0003-1691-1709
person.identifier.orcid0000-0002-2038-0237
person.identifier.orcid0000-0003-4637-0755
person.identifier.ridN-3016-2013
person.identifier.ridD-4394-2011
person.identifier.scopus-author-id57419570900
person.identifier.scopus-author-id6602444272
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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