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dc.date.accessioned 2018-04-16T13:39:55Z
dc.date.available 2018-04-16T13:39:55Z
dc.date.issued 2017
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/66216
dc.description.abstract This work aims at finding an optimal solution of assembly operations in a system of multi-stage production in a shipyard. Shipbuilding of large-size ships is a complex manufacturing process involving the production and assem-bly of a big quantity of blocks. These blocks are then assembled on the block erection final process, with a predefined order. To achieve competitiveness in this market, the development of efficient operation strategies is a potential alternative. To reach this objective, a mixed-integer linear mathematical model (MILP) is proposed. The model is based on the continuous time-slot time batches concept. This mathematical formulation allows obtaining efficient solutions to academic problems with reasonable computational effort. The MILP problem was tested and computational experiences were reported for industrial problems. en
dc.format.extent 57-68 es
dc.language en es
dc.subject continuous time-slot en
dc.subject shipbuilding en
dc.subject scheduling en
dc.subject MILP model en
dc.subject ship-yard block assembly system en
dc.title An effective continuous-time formulation for scheduling optimization in a shipbuilding assembly process en
dc.type Objeto de conferencia es
sedici.identifier.issn 2451-7542 es
sedici.creator.person Basán, Natalia P. es
sedici.creator.person Achkar, Virginia G. es
sedici.creator.person Garcia del Valle, Alejandro es
sedici.creator.person Méndez, Carlos A. 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-ShareAlike 4.0 International (CC BY-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-sa/4.0/
sedici.date.exposure 2017-09
sedici.relation.event VI Simposio Argentino de Informática Industrial (SII) - JAIIO 46 (Córdoba, 2017). es
sedici.description.peerReview peer-review es


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