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Hybrid approach of discrete event simulation integrated with location search algorithm in a cells assignment problem: a case study

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Hybrid approach of discrete event simulation integrated with location search algorithm in a cells assignment problem: a case study

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dc.contributor.author Saez-Mas, Aida es_ES
dc.contributor.author García Sabater, Julio Juan es_ES
dc.contributor.author García Sabater, José Pedro es_ES
dc.contributor.author Maheut, Julien es_ES
dc.date.accessioned 2020-02-02T21:00:52Z
dc.date.available 2020-02-02T21:00:52Z
dc.date.issued 2020 es_ES
dc.identifier.issn 1435-246X es_ES
dc.identifier.uri http://hdl.handle.net/10251/136174
dc.description.abstract [EN] This paper presents a case study describing a cell assignment problem in an assembly facility. These cells receive parts from external suppliers, and sort and sequence these parts to feed the final assembly line. Therefore, to each cell are associated important inbound and outbound flows generating hundreds of material handling equipment movements along the facility, impacting the traffic density and causing eventually safety issues in the plant. Following an important plant redesign, cells have been relocated, and the plant managers need to decide how to manage the new logistic flows. To that aim, a hybrid approach encompassing mathematical optimization and discrete event simulation (DES) is proposed. This approach allows us to reduce complexity by decomposing the design into two phases. The first phase deals with the problem of generating cell¿s assignment alternatives by using a heuristic method to find good quality solutions. Then, a DES software is used to dynamically evaluate the performance of the solutions with respect to operational features such as traffic congestion and intensity. This second phase provides interesting managerial insights on the manufacturing system from both quantitative and qualitative aspects related to in-plant safety and traffic. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Central European Journal of Operations Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Facility layout problem (FLP) es_ES
dc.subject Supply logistics es_ES
dc.subject Material flow es_ES
dc.subject Traffic congestion es_ES
dc.subject Automobile assembly line es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.title Hybrid approach of discrete event simulation integrated with location search algorithm in a cells assignment problem: a case study es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s10100-018-0548-5 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.description.bibliographicCitation Saez-Mas, A.; García Sabater, JJ.; García Sabater, JP.; Maheut, J. (2020). Hybrid approach of discrete event simulation integrated with location search algorithm in a cells assignment problem: a case study. Central European Journal of Operations Research. 28(1):125-142. https://doi.org/10.1007/s10100-018-0548-5 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s10100-018-0548-5 es_ES
dc.description.upvformatpinicio 125 es_ES
dc.description.upvformatpfin 142 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 28 es_ES
dc.description.issue 1 es_ES
dc.relation.pasarela S\375576 es_ES
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