A GRASP algorithm to optimize operational costs and regularity of production in mixed-model sequencing problems with forced interruption of operations

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Bautista Valhondo, JoaquínMés informacióMés informacióMés informació
Alfaro Pozo, RocíoMés informacióMés informacióMés informació
Document typePart of book or chapter of book
Defense date2018-10-23
PublisherSpringer
Rights accessRestricted access - publisher's policy
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
CitationBautista, J., Alfaro, R. A GRASP algorithm to optimize operational costs and regularity of production in mixed-model sequencing problems with forced interruption of operations. A: "Advances in Artificial Intelligence. CAEPIA 2018. Lecture Notes in Computer Science, vol 11160. Springer, Cham". Berlín: Springer, 2018, p. 319-329. 
URIhttp://hdl.handle.net/2117/123730
DOI10.1007/978-3-030-00374-6
ISBN978-3-030-00374-6
Publisher versionhttps://rd.springer.com/book/10.1007%2F978-3-030-00374-6
Other identifiershttps://rd.springer.com/chapter/10.1007/978-3-030-00374-6_30
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