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

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

ISSN: 2340-4876 2340-5317

Année de publication: 2020

Volumen: 8

Número: 2

Pages: 59-63

Type: Article

DOI: 10.4995/IJPME.2020.12173 DIALNET GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: International Journal of Production Management and Engineering (IJPME)

Objectifs de Développement Durable

Résumé

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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