Genetic algorithms for the scheduling in additive manufacturing

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 ab...

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Main Authors: S. Castillo-Rivera, J. De Antón, R. del Olmo, J. Pajares, A. López-Paredes
Format: Article
Language:English
Published: Universitat Politècnica de València 2020-07-01
Series:International Journal of Production Management and Engineering
Online Access:https://polipapers.upv.es/index.php/IJPME/article/view/12173
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author S. Castillo-Rivera
J. De Antón
R. del Olmo
J. Pajares
A. López-Paredes
author_facet S. Castillo-Rivera
J. De Antón
R. del Olmo
J. Pajares
A. López-Paredes
author_sort S. Castillo-Rivera
collection DOAJ
description 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.
format Article
id doaj-art-23e00c5d27774c6aa3dc78315f863642
institution Kabale University
issn 2340-4876
language English
publishDate 2020-07-01
publisher Universitat Politècnica de València
record_format Article
series International Journal of Production Management and Engineering
spelling doaj-art-23e00c5d27774c6aa3dc78315f8636422024-12-02T01:02:26ZengUniversitat Politècnica de ValènciaInternational Journal of Production Management and Engineering2340-48762020-07-0182596310.4995/ijpme.2020.121738130Genetic algorithms for the scheduling in additive manufacturingS. Castillo-Rivera0J. De Antón1R. del Olmo2J. Pajares3A. López-Paredes4Universidad de Valladolid.Universidad de Valladolid.Universidad de BurgosUniversidad de Valladolid.Universidad de ValladolidGenetic 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.https://polipapers.upv.es/index.php/IJPME/article/view/12173
spellingShingle S. Castillo-Rivera
J. De Antón
R. del Olmo
J. Pajares
A. López-Paredes
Genetic algorithms for the scheduling in additive manufacturing
International Journal of Production Management and Engineering
title Genetic algorithms for the scheduling in additive manufacturing
title_full Genetic algorithms for the scheduling in additive manufacturing
title_fullStr Genetic algorithms for the scheduling in additive manufacturing
title_full_unstemmed Genetic algorithms for the scheduling in additive manufacturing
title_short Genetic algorithms for the scheduling in additive manufacturing
title_sort genetic algorithms for the scheduling in additive manufacturing
url https://polipapers.upv.es/index.php/IJPME/article/view/12173
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AT jdeanton geneticalgorithmsfortheschedulinginadditivemanufacturing
AT rdelolmo geneticalgorithmsfortheschedulinginadditivemanufacturing
AT jpajares geneticalgorithmsfortheschedulinginadditivemanufacturing
AT alopezparedes geneticalgorithmsfortheschedulinginadditivemanufacturing