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Simulation optimization: a new job release approach for Industry 4.0

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dc.contributor.authorFernandes, Nuno O.
dc.contributor.authorThurer, Matthias
dc.contributor.authorPinho, Tatiana
dc.contributor.authorTorres, Pedro
dc.contributor.authorSilva, Sílvio do Carmo
dc.date.accessioned2018-04-13T09:30:51Z
dc.date.available2018-04-13T09:30:51Z
dc.date.issued2018
dc.description.abstractThe rise of Industry 4.0 has highlighted simulation optimisation as a decision-making tool for scheduling complex-manufacturing systems, specifically when resources are expensive and multiple jobs compete for the same resources. In this context, simulation optimisation provides an important mean to predict, evaluate and improve the short-term performance of the manufacturing system. An important scheduling function is controlled job release; jobs (or orders) are not released immediately to the shop floor, as they arrive to the production system, but release is controlled to stabilize work-in-process, reduce manufacturing lead times and meet customer delivery requirements. While there exists a broad literature on job release, reported release procedures typically use simple rules and greedy heuristics to determine which job to select for release. While this is justified by its simplicity, the advent of Industry 4.0 and its advanced scheduling techniques question its adequateness. In this study, an integer linear programming model is used to select jobs to be released to the shop floor. While there are some recent studies that use a similar procedure, these studies assume the release decision for a given set of jobs is optimized in discrete time intervals. In contrast, in this study, we analyse the impact of different triggering intervals. Experimental results for a pure flow shop support our contention that simulation optimisation as a decision-making tool for job release is likely to be too important to be overlookedpt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.citationFernandes, N.O.G. [et al.] (2018) - Simulation optimization: a new job release approach for Industry 4.0. In International Working Seminar on Production Economics, 20, Innsbruck, 19-23 de Fevereiro. [S. l: s.n.]. p. 1-10pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/6063
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/pt_PT
dc.subjectControlled job releasept_PT
dc.subjectSimulationpt_PT
dc.subjectOptimizationpt_PT
dc.titleSimulation optimization: a new job release approach for Industry 4.0pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceInnsbruck, Austriapt_PT
oaire.citation.title20th International Working Seminar on Production Economicspt_PT
person.familyNameFernandes
person.familyNameBAPTISTA TORRES
person.givenNameNuno
person.givenNamePEDRO MIGUEL
person.identifierK-5331-2015
person.identifier.ciencia-idD211-6272-AF3B
person.identifier.ciencia-id2711-E707-519C
person.identifier.orcid0000-0002-4682-1790
person.identifier.orcid0000-0003-4835-5022
person.identifier.scopus-author-id14064512000
person.identifier.scopus-author-id56261515100
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationcb1c7a07-e582-476f-96f7-1ed829f55551
relation.isAuthorOfPublication9d9ad49f-3c45-4a99-be21-7f13965c2628
relation.isAuthorOfPublication.latestForDiscovery9d9ad49f-3c45-4a99-be21-7f13965c2628

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