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Título
Production planning in 3D printing factories
Año del Documento
2020
Editorial
Universidad Politécnica de Valencia
Documento Fuente
International Journal of Production Management and Engineering, 2020, 8 (2), 75-86
Zusammenfassung
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.
Palabras Clave
Additive manufacturing, production planning, packing problem, optimization, nesting.
ISSN
2340-5317
Revisión por pares
SI
Patrocinador
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
Version del Editor
Idioma
eng
Tipo de versión
info:eu-repo/semantics/draft
Derechos
openAccess
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