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Genetic algorithms for the scheduling in additive manufacturing

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Genetic algorithms for the scheduling in additive manufacturing

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Nombre: Castillo-Rivera;De;del ...
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dc.contributor.author Castillo-Rivera, S. es_ES
dc.contributor.author De Antón, J. es_ES
dc.contributor.author del Olmo, R. es_ES
dc.contributor.author Pajares, J. es_ES
dc.contributor.author López-Paredes, A. es_ES
dc.date.accessioned 2020-07-23T09:46:34Z
dc.date.available 2020-07-23T09:46:34Z
dc.date.issued 2020-07-18
dc.identifier.uri http://hdl.handle.net/10251/148539
dc.description.abstract [EN] Genetic Algorithms (GAs) are introduced to tackle the packing problem. The scheduling in Additive Manufacturing (AM) is also dealt with to set up a managed market, called “Lonja3D”. This will enable to determine an alternative tool through the combinatorial auctions, wherein the customers will be able to purchase the products at the best prices from the manufacturers. Moreover, the manufacturers will be able to optimize the production capacity and to decrease the operating costs in each case. es_ES
dc.description.sponsorship This research has been partially financed by the project: “Lonja de Impresión 3D para la Industria 4.0 y la Empresa Digital (LONJA3D)” funded by the Regional Government of Castile and Leon and the European Regional Development Fund (ERDF, FEDER) with grant VA049P17 es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.relation.ispartof International Journal of Production Management and Engineering es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Scheduling es_ES
dc.subject Packing Problem es_ES
dc.subject Genetic Algorithm es_ES
dc.title Genetic algorithms for the scheduling in additive manufacturing es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/ijpme.2020.12173
dc.relation.projectID info:eu-repo/grantAgreement/Junta de Castilla y León//VA049P17/ es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Castillo-Rivera, S.; De Antón, J.; Del Olmo, R.; Pajares, J.; López-Paredes, A. (2020). Genetic algorithms for the scheduling in additive manufacturing. International Journal of Production Management and Engineering. 8(2):59-63. https://doi.org/10.4995/ijpme.2020.12173 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2020.12173 es_ES
dc.description.upvformatpinicio 59 es_ES
dc.description.upvformatpfin 63 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 2 es_ES
dc.identifier.eissn 2340-4876
dc.relation.pasarela OJS\12173 es_ES
dc.contributor.funder Junta de Castilla y León es_ES
dc.contributor.funder European Regional Development Fund es_ES
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