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Improving materials flow through autonomous production control

dc.contributor.authorFernandes, Nuno O.
dc.contributor.authorMartins, Tiago
dc.contributor.authorSilva, Sílvio do Carmo
dc.date.accessioned2018-11-23T15:10:07Z
dc.date.available2019-06-30T00:30:12Z
dc.date.issued2018
dc.description“This is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Industrial and Production Engineering on 30-05-2018, available online: http://www.tandfonline.com/10.1080/21681015.2018.1479895.”pt_PT
dc.description.abstractAutonomous Production Control (APC) aims at improving production systems performance through fast and flexible reaction to changes in dynamic environments. In this paper, a new APC method for job routing decision-making is proposed and its performance compared with that of two other APC methods, namely the Queue Length Estimator and the Pheromones, and with two conventional control strategies – a centralized and a random decision-making strategy. A discrete-event simulation model of a flexible flow shop operating under make-to-order was used to evaluate performance. Results show that the new method outperforms those with which it was compared, under high system workload and high variability of orders’ arrival and operation times. The study gives a contribution for better understanding of the performance behavior of APC methods, having important implications for industrial practice and for future research on autonomous production control.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFERNANDES, Nuno; MARTINS, Tiago; SILVA, Sílvio Carmo (2018) - Improving materials flow through autonomous production control. Journal of Industrial and Production Engineering. ISSN: 2168-1023. Vol. 35, nº 5. p, 319-327pt_PT
dc.identifier.doi10.1080/21681015.2018.1479895pt_PT
dc.identifier.issn2168-1023
dc.identifier.urihttp://hdl.handle.net/10400.11/6276
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherTaylor & Francispt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/pt_PT
dc.subjectAutonomous production controlpt_PT
dc.subjectFlexible flow shopspt_PT
dc.subjectSimulationpt_PT
dc.titleImproving materials flow through autonomous production controlpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F00319%2F2013/PT
oaire.citation.titleJournal of Industrial and Production Engineeringpt_PT
oaire.fundingStream5876
person.familyNameFernandes
person.givenNameNuno
person.identifier.ciencia-idD211-6272-AF3B
person.identifier.orcid0000-0002-4682-1790
person.identifier.scopus-author-id14064512000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsembargoedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscoverycb1c7a07-e582-476f-96f7-1ed829f55551
relation.isProjectOfPublicationcb4ef25e-e703-4d44-a123-9d78d4d8a080
relation.isProjectOfPublication.latestForDiscoverycb4ef25e-e703-4d44-a123-9d78d4d8a080

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