Scheduling comparison between multi-objective mathematical models and genetic algorithms approach in the textile industry

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dc.contributor.authorCelikbilek, C.
dc.contributor.authorTunacan, T.
dc.contributor.authorSüer, G.A.
dc.contributor.authorDulkadir, O.
dc.date.accessioned2024-09-29T16:16:32Z
dc.date.available2024-09-29T16:16:32Z
dc.date.issued2016
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThis paper discusses mixed integer mathematical models and genetic algorithms (GAs) approach for finding an optimal schedule of the bottleneck machine for a company in the textile industry. Single-objective and multi-objective mathematical models and GA are used to obtain an optimal solution to minimise the maximum tardiness (Tmax). The comparison is made between mathematical models and GA according to the primary and secondary performance measures. Primary performance measure is Tmax, while secondary performance measure is number of tardy jobs (nt) and total tardiness (TT) values. The experimentation is performed for small and large size problems. All jobs have five different instances except for 150-job and 200-job problems. Due to memory and time limitations, only one sample could be solved for 150-job and 200-job problem. The experimental results indicated that, most of the time GA finds an optimal solution and proposes alternative schedules for both single-objective and multi-objective mathematical models. © Copyright 2016 Inderscience Enterprises Ltd.en_US
dc.identifier.doi10.1504/IJSOM.2016.078894
dc.identifier.endpage258en_US
dc.identifier.issn1744-2370
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-84986220541en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage236en_US
dc.identifier.urihttps://doi.org/10.1504/IJSOM.2016.078894
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9164
dc.identifier.volume25en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInderscience Publishersen_US
dc.relation.ispartofInternational Journal of Services and Operations Managementen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectGenetic algorithm approachen_US
dc.subjectMixed integer programming modelen_US
dc.subjectMulti-objective modelsen_US
dc.subjectSchedulingen_US
dc.subjectSingle objective modelen_US
dc.subjectTextile manufacturingen_US
dc.titleScheduling comparison between multi-objective mathematical models and genetic algorithms approach in the textile industryen_US
dc.typeArticleen_US

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