Solving a concrete sleepers production scheduling by genetic algorithms

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• dc.contributor.author Pérez Vázquez, María Elena
• dc.contributor.author Gento Municio, Angel Manuel
• dc.contributor.author Ramalhinho-Lourenço, Helena
• dc.date.accessioned 2020-12-01T08:55:48Z
• dc.date.available 2020-12-01T08:55:48Z
• dc.date.issued 2007
• dc.description.abstract PRECON S.A. is a manufacturing company devoted to produce prefabricated concrete parts for several industries as railway transportation and agricultural industries. Recently, PRECON S.A. signed a contract with RENFE, the Spanish National Railway Company, to manufacture pre-stressed concrete sleepers for the sidings of the new railways of the high speed train (AVE). The scheduling problem associated with the manufacturing process of the sleepers is very complex, since this involves several constraints and objectives. These constraints are related to production capacity, the quantity of available moulds, demand satisfaction and other operational constraints. The two main objectives are related to the way to maximize the utilization of manufacturing resources and minimize mould movements. We developed a deterministic crowding genetic algorithm for this multiobjective problem. The algorithm has proved to be a powerful and flexible tool to solve large-scale instances of this real and complex scheduling problem.en
• dc.description.sponsorship The authors gratefully acknowledge the financial support form VA102/04 project, Consejería de Educación y Cultura, Junta de Castilla y León, Spain.
• dc.format.mimetype application/pdf
• dc.identifier.citation Pérez-Vázquez ME, Gento-Municio AM, Lourenço HR. Solving a concrete sleepers production scheduling by genetic algorithms. Eur J Oper Res. 2007 Jun 16;179(3):605-20. DOI: 10.1016/j.ejor.2005.03.070
• dc.identifier.doi http://dx.doi.org/10.1016/j.ejor.2005.03.070
• dc.identifier.issn 0377-2217
• dc.identifier.uri http://hdl.handle.net/10230/45918
• dc.language.iso eng
• dc.publisher Elsevier
• dc.relation.ispartof European Journal of Operational Research. 2007 Jun 16;179(3):605-20
• dc.rights © Elsevier http://dx.doi.org/10.1016/j.ejor.2005.03.070
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Genetic algorithmsen
• dc.subject.keyword Schedulingen
• dc.subject.keyword Deterministic crowdingen
• dc.subject.keyword Multiobjectiveen
• dc.title Solving a concrete sleepers production scheduling by genetic algorithmsen
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion