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Scheduling of a textile production line integrating PV generation using a genetic algorithm

2020Journal article Open access
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dc.contributor.authorRamos, Carlos
dc.contributor.authorBarreto, Rúben
dc.contributor.authorMota, Bruno
dc.contributor.authorGomes, Luis
dc.contributor.authorFaria, Pedro
dc.contributor.authorVale, Zita
dc.date.accessioned2021-03-04T17:52:01Z
dc.date.available2021-03-04T17:52:01Z
dc.date.issued2020
dc.description.abstractConsidering the technological advances of the industrial sector today, it appears that the management of energy resources has become increasingly prominent. Thus, to make this management more efficient, it is necessary to take into account the production planning and scheduling concept, since it allows influencing the scheduling of production at the level of cost and efficiency. Thus, the objective of this paper is to present a methodology that allows making the best possible scheduling of a textile production line to optimize it. This optimization is elaborated with the help of genetic algorithms, and, as it can be verified in this paper, it is possible to make an optimization of the production line at the level of energy cost or the level of energy consumption or optimization of both. Thus, the case study of this paper is based on a textile production line that produces a variety of products through three machines capable of performing numerous tasks, which can be done on more than one machine. Likewise, this production line enjoys photovoltaic production. This paper presents several case studies that allow for highlighting the impact of the methodology covered in the respective production line, where it is illustrated through different graphics.pt_PT
dc.description.sponsorshipThis work has received funding from Portugal 2020 under SPEAR project (NORTE-01-0247-FEDER-040224) and from FEDER Funds through COMPETE program and from National Funds through (FCT), Portugal under the project UIDB/00760/2020, and CEECIND/02887/2017.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.egyr.2020.11.093pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/17283
dc.language.isoengpt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2352484720315183?via%3Dihubpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectGenetic algorithmpt_PT
dc.subjectJob shop problempt_PT
dc.subjectProduction planningpt_PT
dc.subjectSchedulingpt_PT
dc.titleScheduling of a textile production line integrating PV generation using a genetic algorithmpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage154pt_PT
oaire.citation.startPage148pt_PT
oaire.citation.titleEnergy Reportspt_PT
oaire.citation.volume6pt_PT
person.familyNameRamos
person.familyNameBarreto
person.familyNameFaria
person.familyNameVale
person.givenNameCarlos
person.givenNameRúben
person.givenNamePedro
person.givenNameZita
person.identifier632184
person.identifier.ciencia-id1011-FAFC-AEBA
person.identifier.ciencia-idC71C-A2AB-534A
person.identifier.ciencia-id6F19-CB63-C8A8
person.identifier.ciencia-idB212-2309-F9C3
person.identifier.ciencia-id721B-B0EB-7141
person.identifier.orcid0000-0002-5143-1711
person.identifier.orcid0000-0002-5574-6972
person.identifier.orcid0000-0002-8597-3383
person.identifier.orcid0000-0002-5982-8342
person.identifier.orcid0000-0002-4560-9544
person.identifier.ridK-7403-2014
person.identifier.ridA-5824-2012
person.identifier.scopus-author-id7201559105
person.identifier.scopus-author-id57211286931
person.identifier.scopus-author-id7004115775
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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