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A GRASP algorithm for quota sequences with minimum work overload and forced interruption of operations in a mixed-product assembly line

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10.1007/s13748-018-0144-x
 
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hdl:2117/116653

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Bautista Valhondo, JoaquínMés informacióMés informacióMés informació
Alfaro Pozo, RocíoMés informacióMés informacióMés informació
Document typeArticle
Defense date2018-03-13
PublisherSpringer
Rights accessOpen Access
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
We present a GRASP algorithm to solve a problem that involves the sequencing of mixed products in an assembly line. The objective of the problem is to obtain a manufacturing sequence of models that generates a minimum work overload with a forced interruption of operations, which is regular in production, and in which, the production mix maintains the Quota property in the whole sequence. The implemented GRASP is compared with other procedures using instances of a case study of the Nissan engine manufacturing plant in Barcelona.
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This is a post-peer-review, pre-copyedit version of an article published in Progress in Artificial Intelligence . The final authenticated version is available online at: http://dx.doi.org/10.1007/s13748-018-0144-x
CitationBautista, J., Alfaro, R. A GRASP algorithm for quota sequences with minimum work overload and forced interruption of operations in a mixed-product assembly line. "Progress in Artificial Intelligence", 13 Març 2018, vol. First Online, p. 1-15. 
URIhttp://hdl.handle.net/2117/116653
DOI10.1007/s13748-018-0144-x
ISSN2192-6360
Publisher versionhttps://link.springer.com/journal/13748
Other identifiershttps://doi.org/10.1007/s13748-018-0144-x
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