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Improving cross-docking operations for consumer goods sector using metaheuristics

dc.creatorGómez-Montoya R.A.
dc.creatorCano J.A.
dc.creatorCampo E.A.
dc.creatorSalazar F.
dc.date2021
dc.date.accessioned2021-02-05T14:57:33Z
dc.date.available2021-02-05T14:57:33Z
dc.identifier.issn20893191
dc.identifier.urihttp://hdl.handle.net/11407/5888
dc.descriptionThis paper aims to model a consumer goods cross-docking problem, which is solved using metaheuristics to minimize makespan and determine the capacity in terms of inbound and outbound docks. The consumer-goods cross-docking problem is represented through inbound and outbound docks, customer orders (products to be delivered to customers), and metaheuristics as a solution method. Simulated annealing (SA) and particle swarm optimization (PSO) are implemented to solve the cross-docking problem. Based on the results of statistical analysis, it was identified that the two-way interaction effect between inbound and outbound docks, outbound docks and items, and items and metaheuristics are the most statistically significant on the response variable. The best solution provides the minimum makespan of 973.42 minutes considering nine inbound docks and twelve outbound docks. However, this study detected that the combination of six inbound docks and nine outbound docks represents the most efficient solution for a crossdocking design since it reduces the requirement of docks by 28.6% and increases the makespan by only 4.2% when compared to the best solution, representing a favorable trade-off for the cross-docking platform design. © 2021, Institute of Advanced Engineering and Science. All rights reserved.
dc.language.isoeng
dc.publisherInstitute of Advanced Engineering and Science
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85095776438&doi=10.11591%2feei.v10i1.2710&partnerID=40&md5=8dd0205401ca0b07f630ae46a6e6251e
dc.sourceBulletin of Electrical Engineering and Informatics
dc.subjectConsumer goods sectorspa
dc.subjectCross-dockingspa
dc.subjectDistribution centerspa
dc.subjectParticle swarm optimizationspa
dc.subjectSimulated annealingspa
dc.titleImproving cross-docking operations for consumer goods sector using metaheuristics
dc.typeArticleeng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programAdministración de Empresasspa
dc.identifier.doi10.11591/eei.v10i1.2710
dc.relation.citationvolume10
dc.relation.citationissue1
dc.relation.citationstartpage524
dc.relation.citationendpage532
dc.publisher.facultyFacultad de Ciencias Económicas y Administrativasspa
dc.affiliationGómez-Montoya, R.A., Faculty of Engineering, Politécnico Colombiano Jaime Isaza Cadavid, Colombia
dc.affiliationCano, J.A., Faculty of Economics and Administrative Sciences, Universidad de Medellín, Colombia
dc.affiliationCampo, E.A., ESACS-Escuela Superior en Administración de Cadena de Suministro, Colombia
dc.affiliationSalazar, F., Faculty of Economics and Administrative Sciences, Pontificia Universidad Javeriana, Colombia
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article


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