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Bicriteria food packaging process optimization in double-layered upright and diagonal multihead weighers

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Bicriteria food packaging process optimization in double-layered upright and diagonal multihead weighers

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dc.contributor.author Garcia-Jimenez, Rafael es_ES
dc.contributor.author García-Díaz, J. Carlos es_ES
dc.contributor.author Pulido-Rojano, Alexander D. es_ES
dc.date.accessioned 2023-12-19T19:02:03Z
dc.date.available 2023-12-19T19:02:03Z
dc.date.issued 2023-08-15 es_ES
dc.identifier.issn 0377-0427 es_ES
dc.identifier.uri http://hdl.handle.net/10251/200929
dc.description.abstract [EN] Double-layered multihead weighing machines contain twice the number of hoppers as present in a simple machine with the same number of heads, which enables additional objective optimization possibilities considering the increased number of combinations among hoppers. This research study deals with bicriteria optimization for double-layered upright and diagonal machines using brute force as the optimization criteria. One of the optimization objectives is related to the target weight; the target weight must be at least and as close as possible to the weight to pack. Furthermore, this study also aims to minimize the time for which a certain portion of a product remains in the hopper while waiting to be selected for package formation. This time is known as priority and is measured based on the number of iterations or the number of packages produced by the machine while the hopper waits to be discharged. For these purposes, Different strategies were tested for both machines, which simultaneously optimize the target weight and the priority of the hoppers, showing the reduction of the extraction of the process in addition to reducing the costs of excess product and its reprocessing. es_ES
dc.description.sponsorship We express our gratitude for the support from Universidad Simon Bolivar, Colombia, and Universitat Politecnica de Valencia. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Computational and Applied Mathematics es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Multihead machines es_ES
dc.subject Bicriteria optimization es_ES
dc.subject Multiobjective optimization es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title Bicriteria food packaging process optimization in double-layered upright and diagonal multihead weighers es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.cam.2023.115168 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Garcia-Jimenez, R.; García-Díaz, JC.; Pulido-Rojano, AD. (2023). Bicriteria food packaging process optimization in double-layered upright and diagonal multihead weighers. Journal of Computational and Applied Mathematics. 428:1-10. https://doi.org/10.1016/j.cam.2023.115168 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.cam.2023.115168 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 428 es_ES
dc.relation.pasarela S\485497 es_ES
dc.contributor.funder Universidad Simón Bolivar es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.subject.ods 08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos es_ES
dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES


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