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Production planning in 3D printing factories

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Production planning in 3D printing factories

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dc.contributor.author De Antón, J. es_ES
dc.contributor.author Senovilla, J. es_ES
dc.contributor.author González, J.M. es_ES
dc.contributor.author Acebes, F. es_ES
dc.contributor.author Pajares, J. es_ES
dc.date.accessioned 2020-07-23T09:29:48Z
dc.date.available 2020-07-23T09:29:48Z
dc.date.issued 2020-07-18
dc.identifier.uri http://hdl.handle.net/10251/148537
dc.description.abstract [EN] Production planning in 3D printing factories brings new challenges among which the scheduling of parts to be produced stands out. A main issue is to increase the efficiency of the plant and 3D printers productivity. Planning, scheduling, and nesting in 3D printing are recurrent problems in the search for new techniques to promote the development of this technology. In this work, we address the problem for the suppliers that have to schedule their daily production. This problem is part of the LONJA3D model, a managed 3D printing market where the parts ordered by the customers are reorganized into new batches so that suppliers can optimize their production capacity. In this paper, we propose a method derived from the design of combinatorial auctions to solve the nesting problem in 3D printing. First, we propose the use of a heuristic to create potential manufacturing batches. Then, we compute the expected return for each batch. The selected batch should generate the highest income. Several experiments have been tested to validate the process. This method is a first approach to the planning problem in 3D printing and further research is proposed to improve the procedure. 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 JCYL-FEDER/VA049P17 es_ES
dc.relation.ispartof International Journal of Production Management and Engineering es_ES
dc.rights Reconocimiento - No comercial (by-nc) es_ES
dc.subject Additive manufacturing es_ES
dc.subject Production planning es_ES
dc.subject Packing problem es_ES
dc.subject Optimization es_ES
dc.subject Nesting es_ES
dc.title Production planning in 3D printing factories es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.4995/ijpme.2020.12944
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation De Antón, J.; Senovilla, J.; González, J.; Acebes, F.; Pajares, J. (2020). Production planning in 3D printing factories. International Journal of Production Management and Engineering. 8(2):75-86. https://doi.org/10.4995/ijpme.2020.12944 es_ES
dc.description.accrualMethod OJS es_ES
dc.relation.publisherversion https://doi.org/10.4995/ijpme.2020.12944 es_ES
dc.description.upvformatpinicio 75 es_ES
dc.description.upvformatpfin 86 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\12944 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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