Genetic algorithms for the scheduling in additive manufacturing

  1. Castillo-Rivera, S. 1
  2. De Antón, J. 1
  3. del Olmo, R. 2
  4. Pajares, J. 1
  5. López-Paredes, A. 1
  1. 1 Universidad de Valladolid.
  2. 2 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Zeitschrift:
International Journal of Production Management and Engineering (IJPME)

ISSN: 2340-4876,  2340-5317

Datum der Publikation: 2020

Ausgabe: 8

Nummer: 2

Seiten: 59-63

Art: Artikel

DOI: 10.4995/IJPME.2020.12173 DIALNET GOOGLE SCHOLAR lock_openOpen Access editor

Andere Publikationen in: International Journal of Production Management and Engineering (IJPME)

Ziele für nachhaltige Entwicklung

Zusammenfassung

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.

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