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dc.creatorCano, José Alejandroes
dc.creatorGómez Montoya, R.Aes
dc.creatorCortés, Pabloes
dc.creatorCampo, Emiro Antonioes
dc.date.accessioned2021-09-01T16:06:41Z
dc.date.available2021-09-01T16:06:41Z
dc.date.issued2021
dc.identifier.citationCano, J.A., Gómez Montoya, R.A., Cortés, P. y Campo, E.A. (2021). Mrp systems considering fuzzy capacity, lead times and inventory availability. International Journal of Simulation Modelling, 20 (1), 29-39.
dc.identifier.issn1726-4529es
dc.identifier.urihttps://hdl.handle.net/11441/125276
dc.description.abstractThis article aims to propose a fuzzy model for closed-loop material requirement planning (MRP) systems considering uncertain parameters like production capacity, on-hand inventory and lead times. For this, a deterministic closed-loop MRP model is proposed, and then fuzzy coefficients in the constraints of the model are used to establish the fuzzy MRP model, which depends on the degrees of satisfaction (λ) of the decision-maker. Data from a production plan of a company dedicated to the manufacture of electrical transformers are employed to verify the proposed fuzzy MRP model, minimizing inventory holding costs, production setup costs, and extra capacity costs. The results show the fuzzy model performs better than the deterministic model, especially for low λ values, providing better performance in terms of the total cost, total inventory, service level, and computational efficiency.es
dc.formatapplication/pdfes
dc.format.extent11 p.es
dc.language.isoenges
dc.publisherDAAAM International Viennaes
dc.relation.ispartofInternational Journal of Simulation Modelling, 20 (1), 29-39.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectFuzzy Logices
dc.subjectInventoryes
dc.subjectLead Timees
dc.subjectMRPes
dc.subjectProduction Capacityes
dc.titleMrp systems considering fuzzy capacity, lead times and inventory availabilityes
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Organización Industrial y Gestión de Empresas IIes
dc.relation.publisherversionhttp://www.ijsimm.com/Full_Papers/Fulltext2021/text20-1_538.pdfes
dc.identifier.doi10.2507/IJSIMM20-1-538es
dc.journaltitleInternational Journal of Simulation Modellinges
dc.publication.volumen20es
dc.publication.issue1es
dc.publication.initialPage29es
dc.publication.endPage39es

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Except where otherwise noted, this item's license is described as: Attribution-NonCommercial-NoDerivatives 4.0 Internacional