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dc.date.accessioned 2020-04-27T12:52:14Z
dc.date.available 2020-04-27T12:52:14Z
dc.date.issued 2013
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/94312
dc.description.abstract This work presents efficient algorithms based on Mixed-Integer Linear Programming (MILP) for complex job-shop scheduling problems raised in Automated Manufacturing Systems. The aim of this work is to find alternative solution approaches of production and transportation operations in a multi-product multistage production process that can be used to solve industrial-scale problems with reasonable computational effort. The MILP model developed must take into account; dissimilar recipes, single unit per production stage, re-entrant flows, sequence- dependent free transferring times and load transfer movements in a single automated material-handling device. In addition, logical-based strategies are proposed to iteratively find and improve the solutions generated over time. These approaches were tested in different real-world problems appeared in the surfacetreatment process of metal components in aircraft manufacturing industry. en
dc.format.extent 1-12 es
dc.language en es
dc.subject MILP-based algorithm es
dc.subject Automated Manufacturing Systems es
dc.subject Job-shop Scheduling problems es
dc.title Applying MILP-based algorithms to automated job-shop scheduling problems in aircraft-part manufacturing en
dc.type Objeto de conferencia es
sedici.identifier.issn 2313-9102 es
sedici.creator.person Aguirre, A.M. es
sedici.creator.person Méndez, C.A. es
sedici.creator.person García Sánchez, A. es
sedici.creator.person Ortega Mier, M. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Sociedad Argentina de Informática e Investigación Operativa es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2013-09
sedici.relation.event II Simposio Argentino de Informática Industrial (SII) - JAIIO 42 (2013) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)