A multi-objective model to allocate multiple facilities at proposed locations in the multi-floor organisation, using an improved genetic algorithm. Case study: Isfahan Governorate

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dc.authorscopusid35174945700
dc.authorscopusid57203981069
dc.contributor.authorSafaei, Mehdi
dc.contributor.authorNasrollahi, Meisam
dc.date.accessioned2024-09-11T19:57:59Z
dc.date.available2024-09-11T19:57:59Z
dc.date.issued2021
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractThe impressive role in the proper design of facility layout on productivity cannot be simply overlooked. So far, many models of the genetic algorithm have been introduced to solve such problems. The common approach of all these methods is to eliminate unacceptable answers. But given that unacceptable responses also have positive characteristics that can have a positive effect on next-generation fitness, this positive character can be exploited. In the multi-objective and multi-scale model presented, graded punishment is intended for such solutions, but will benefit from their positive features. Finally, the effectiveness of this method was evaluated by studying a case study. The results confirm the model's ability to improve the existing conditions. The main application of this model, in multi-layered organizations, is the allocation of several facilities to one location, depending on its capacity. It is also used to design workshop facility layouts. Copyright © 2021 Inderscience Enterprises Ltd.en_US
dc.identifier.doi10.1504/IJMOR.2021.112269
dc.identifier.endpage144en_US
dc.identifier.issn1757-5850en_US
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85099099352en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage126en_US
dc.identifier.urihttps://doi.org/10.1504/IJMOR.2021.112269
dc.identifier.urihttps://hdl.handle.net/11363/8390
dc.identifier.volume18en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInderscience Publishersen_US
dc.relation.ispartofInternational Journal of Mathematics in Operational Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectBasic layout model; Crossover; Fitness function; Genetic algorithm; Mutation; Objective functionen_US
dc.titleA multi-objective model to allocate multiple facilities at proposed locations in the multi-floor organisation, using an improved genetic algorithm. Case study: Isfahan Governorateen_US
dc.typeArticleen_US

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