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dc.date.accessioned 2019-01-03T16:46:18Z
dc.date.available 2019-01-03T16:46:18Z
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/71890
dc.description.abstract By means of the present work, the production scheduling and the lot streaming problems are simultaneously addressed at flexible manufacturing environments. The proposal is based on a Constraint Programming (CP) formulation that can efficiently tackle the scheduling of manufacturing operations and the splitting of lots into smaller sublots. The approach is capable to define the number of sublots for each lot and the number of parts belonging to each sublot, as well as the assignment of the operations on sublots to machines, with their corresponding start and completion times. The CP model can be easily adapted to cope with different problem issues and several operational policies, which constitutes the main novelty of the contribution. A set of case studies were solved in order to validate the proposal and good quality solutions were found when minimizing the makespan. en
dc.format.extent 97-110 es
dc.language en es
dc.subject lot streaming en
dc.subject scheduling en
dc.subject flexible job shop en
dc.subject constraint programming en
dc.title An approach for the production scheduling problem when lot streaming is enabled at the operational level en
dc.type Objeto de conferencia es
sedici.identifier.uri http://47jaiio.sadio.org.ar/sites/default/files/SIIIO-08.pdf es
sedici.identifier.issn 2618-3277 es
sedici.creator.person Novas, Juan 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-ShareAlike 3.0 Unported (CC BY-SA 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-sa/3.0/
sedici.date.exposure 2018-09
sedici.relation.event I Simposio Argentino de Informática Industrial e Investigación Operativa (SIIIO 2018) - JAIIO 47 (CABA, 2018) es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)