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dc.creatorGómez-Montoya R.A.
dc.creatorCano J.A.
dc.creatorCortés P.
dc.creatorSalazar F.
dc.date2020
dc.date.accessioned2021-02-05T14:57:46Z
dc.date.available2021-02-05T14:57:46Z
dc.identifier.issn20793197
dc.identifier.urihttp://hdl.handle.net/11407/5907
dc.descriptionPut-away operations typically consist of moving products from depots to allocated storage locations using either operators or Material Handling Equipment (MHE), accounting for important operative costs in warehouses and impacting operations efficiency. Therefore, this paper aims to formulate and solve a Put-away Routing Problem (PRP) in distribution centres (DCs). This PRP formulation represents a novel approach due to the consideration of a fleet of homogeneous Material Handling Equipment (MHE), heterogeneous products linked to a put-away list size, depot location and multi-parallel aisles in a distribution centre. It should be noted that the slotting problem, rather than the PRP, has usually been studied in the literature, whereas the PRP is addressed in this paper. The PRP is solved using a discrete particle swarm optimization (PSO) algorithm that is compared to tabu search approaches (Classical Tabu Search (CTS), Tabu Search (TS) 2-Opt) and an empirical rule. As a result, it was found that a discrete PSO generates the best solutions, as the time savings range from 2 to 13% relative to CTS and TS 2-Opt for different combinations of factor levels evaluated in the experimentation. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
dc.language.isoeng
dc.publisherMDPI AG
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85097316780&doi=10.3390%2fcomputation8040099&partnerID=40&md5=29b5f681fe2dd8a5243b74c4dd26613a
dc.sourceComputation
dc.subjectDiscrete particle swarm optimizationspa
dc.subjectDistribution centrespa
dc.subjectOrder pickingspa
dc.subjectPut-away routingspa
dc.subjectWarehouse managementspa
dc.titleA discrete particle swarm optimization to solve the put-away routing problem in distribution centres
dc.typeArticleeng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programAdministración de Empresasspa
dc.identifier.doi10.3390/computation8040099
dc.relation.citationvolume8
dc.relation.citationissue4
dc.relation.citationstartpage1
dc.relation.citationendpage17
dc.publisher.facultyFacultad de Ciencias Económicas y Administrativasspa
dc.affiliationGómez-Montoya, R.A., Facultad de Administración, Politécnico Colombiano Jaime Isaza Cadavid, Carrera 48 No. 7–151, Medellín, 050022, Colombia, ESACS–Escuela Superior en Administración de Cadena de Suministro, Calle 4 # 18-55, Medellín, 050021, Colombia
dc.affiliationCano, J.A., Facultad de Ciencias Económicas y Administrativas, Universidad de Medellín, Carrera 87 # 30–65, Medellín, 050026, Colombia
dc.affiliationCortés, P., Escuela Técnica Superior de Ingeniería, Universidad de Sevilla, Camino de los Descubrimientos s/n, Sevilla, 41092, Spain
dc.affiliationSalazar, F., Facultad de Ciencias Económicas y Administrativas, Pontificia Universidad Javeriana, Cra. 7 #40, Bogotá, 110231, Colombia
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article


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