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Scheduling Operations and SMED: Complementary Ways to Improve Productivity

dc.contributor.authorSantos, Fernando Charrua
dc.contributor.authorSantos, Beatrice Paiva
dc.contributor.authorCalderón-Arce, Cindy
dc.contributor.authorFigueroa-Mata, Geovanni
dc.contributor.authorLima, Tânia M.
dc.date.accessioned2022-01-07T15:26:14Z
dc.date.available2022-01-07T15:26:14Z
dc.date.issued2019
dc.description.abstractIn most real cases the problem of scheduling operations are sequence de-pendent, that is, the setup time depends on the sequencing of tasks/batches in the ma-chine. Given the current industrial manufacturing trends and requirements such as high variability, customization and reduction of product life cycles, organizations seek to implement new methodologies to adapt and respond with more flexibly to new demands of the global markets. Thus, this work sought to analyse, inspired by a real case of the textile industry, how production scheduling can be understood as a complement to SMED in order to achieve productivity improvement. In the case under analysis we presented the problem of scheduling tasks in uniform parallel machines with sequence-dependent setup times. The main objective of this work was to minimize the total pro-duction time. To this goal, optimization heuristics were used, in this case, simulated annealing algorithm, that demonstrated how the use of heuristics can be an advantage to reduce setup times when associated with other methodologies such as SMED.pt_PT
dc.description.sponsorshipThis work has been supported by the project Centro-01-0145-FEDER-000017 - EMaDeS - Energy, Materials and Sustainable Development, co-financed by the Portugal 2020 Program (PT 2020), within the Regional Operational Program of the Center (CENTRO 2020) and the Euro pean Union through the European Regional Development Fund (ERDF).The authors wish to thank the opportunity and financial support that permitted to carry on this project. And C-MAST/ Centre for Mechanical and Aerospace Science and Technologies. project UID / EMS / 00151/2013 C-MAST, POCI-01-0145-FEDER-007718.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-030-14969-7_19pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/11585
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.subjectUniform Parallel Machinespt_PT
dc.subjectSchedulingpt_PT
dc.subjectSimulated Annealingpt_PT
dc.titleScheduling Operations and SMED: Complementary Ways to Improve Productivitypt_PT
dc.typebook part
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FEMS%2F00151%2F2013/PT
oaire.citation.endPage227pt_PT
oaire.citation.startPage221pt_PT
oaire.citation.titleSpringer Proceedings in Mathematics & Statisticspt_PT
oaire.citation.volume280pt_PT
oaire.fundingStream5876
person.familyNameCharrua Santos
person.familyNameLima
person.givenNameFernando
person.givenNameTânia
person.identifier1710267
person.identifier.ciencia-id891F-446B-B649
person.identifier.ciencia-id771E-3B60-A936
person.identifier.orcid0000-0002-2038-0237
person.identifier.orcid0000-0002-7540-3854
person.identifier.ridV-5052-2017
person.identifier.scopus-author-id48661120000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typebookPartpt_PT
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