Genetic algorithms for the scheduling in additive manufacturing

• Castillo-Rivera, S. ^[1] ; De Antón, J. ^[1] ; del Olmo, R. ^[2] ; Pajares, J. ^[1] ; López-Paredes, A. ^[1]
  1. [1] Universidad de Valladolid

     Universidad de Valladolid

     Valladolid, España

     
  2. [2] Universidad de Burgos

     Universidad de Burgos

     Burgos, España

     
• Localización: International Journal of Production Management and Engineering (IJPME), ISSN-e 2340-4876, ISSN 2340-5317, Vol. 8, Nº. 2, 2020, págs. 59-63
• Idioma: inglés
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• Resumen

  • 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.