oai:riunet.upv.es:10251/178464 2022-05-10T09:12:14Z com_10251_3822 col_10251_169956 2022-09-01T07:51:12.657Z od______1560::8f7a139735f493882bb0f4abceb6e200 od______1560::8f7a139735f493882bb0f4abceb6e200 2019-03-27T15:15:22.22Z riunet________

10.4995/ijpme.2020.12944 10251/148537 journal article VoR http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Production planning in 3D printing factories [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. 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. eng Universitat Politècnica de València application/pdf 716912 Junta de Castilla y León http://dx.doi.org/10.13039/501100014180 VA049P17 De Antón, J. Senovilla, J. González, J.M. Acebes, F. Pajares, J. 2020-07-18 Additive manufacturing Production planning Packing problem Optimization Nesting 10.4995/ijpme.2020.12944 10251/148537 0038 2020-07-18 OPEN eng