RT info:eu-repo/semantics/article
T1 Production planning in 3D printing factories
A1 Senovilla, J.
A1 Antón Heredero, Juan de
A1 González Varona, José Manuel
A1 Acebes Senovilla, Fernando
K1 Additive manufacturing, production planning, packing problem, optimization, nesting.
AB Production planning in 3D printing factories brings new challenges among which the scheduling of parts to beproduced 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 thistechnology. In this work, we address the problem for the suppliers that have to schedule their daily production. This problemis part of the LONJA3D model, a managed 3D printing market where the parts ordered by the customers are reorganized intonew batches so that suppliers can optimize their production capacity. In this paper, we propose a method derived from thedesign of combinatorial auctions to solve the nesting problem in 3D printing. First, we propose the use of a heuristic to createpotential manufacturing batches. Then, we compute the expected return for each batch. The selected batch should generatethe highest income. Several experiments have been tested to validate the process. This method is a first approach to theplanning problem in 3D printing and further research is proposed to improve the procedure.
PB Universidad Politécnica de Valencia
SN 2340-5317
YR 2020
FD 2020
LK https://uvadoc.uva.es/handle/10324/64884
UL https://uvadoc.uva.es/handle/10324/64884
LA eng
NO International Journal of Production Management and Engineering, 2020, 8 (2), 75-86
DS UVaDOC
RD 22-dic-2024