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dc.contributor.author
Zeballos, Luis Javier  
dc.contributor.author
Quiroga, Oscar Daniel  
dc.contributor.author
Henning, Gabriela Patricia  
dc.date.available
2024-10-22T14:30:28Z  
dc.date.issued
2010-12  
dc.identifier.citation
Zeballos, Luis Javier; Quiroga, Oscar Daniel; Henning, Gabriela Patricia; A constraint programming model for the scheduling of flexible manufacturing systems with machine and tool limitations; Pergamon-Elsevier Science Ltd; Engineering Applications Of Artificial Intelligence; 23; 2; 12-2010; 229-248  
dc.identifier.issn
0952-1976  
dc.identifier.uri
http://hdl.handle.net/11336/246264  
dc.description.abstract
This contribution presents an integrated Constraint Programming (CP) model to tackle the problems of tool allocation, machine loading, part routing and scheduling in a Flexible Manufacturing System (FMS). The formulation, which is able to take into account a variety of constraints found in industrial environments, as well as several objective functions, has been successfully applied to the solution of various case studies of different sizes. Though some of the problem instances have bigger sizes than the examples reported up to now in literature, very good quality solutions were reached in quite reasonable CPU times. This good computational performance is due to two essential characteristics of the proposed model. The most significant one is the use of two sets of two-index variables to capture manufacturing activities instead of just one having four indexes. Thus, dimensionality is greatly reduced. The other relevant feature is the fact that the model relies on an indirect representation of tool needs by means of tool types; hence avoiding the consideration of tool copies.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Pergamon-Elsevier Science Ltd  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
Constraint Programming  
dc.subject
Flexible Manufacturing Systems  
dc.subject
Scheduling  
dc.subject
Resource-constrained Systems  
dc.subject.classification
Otras Ciencias de la Computación e Información  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
A constraint programming model for the scheduling of flexible manufacturing systems with machine and tool limitations  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-10-01T16:04:32Z  
dc.journal.volume
23  
dc.journal.number
2  
dc.journal.pagination
229-248  
dc.journal.pais
Países Bajos  
dc.journal.ciudad
Amsterdam  
dc.description.fil
Fil: Zeballos, Luis Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina  
dc.description.fil
Fil: Quiroga, Oscar Daniel. Universidad Nacional del Litoral. Facultad de Ingeniería Química; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Luis. Instituto de Investigaciones en Tecnología Química. Universidad Nacional de San Luis. Facultad de Química, Bioquímica y Farmacia. Instituto de Investigaciones en Tecnología Química; Argentina  
dc.description.fil
Fil: Henning, Gabriela Patricia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química. Universidad Nacional del Litoral. Instituto de Desarrollo Tecnológico para la Industria Química; Argentina  
dc.journal.title
Engineering Applications Of Artificial Intelligence  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.engappai.2009.07.002  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0952197609001080