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Supply chain models for an assembly system with preprocessing of raw materials: A simple and better algorithm

dc.creatorLeopoldo Eduardo Cárdenas Barrón
dc.date2013
dc.date.accessioned2018-10-18T20:13:00Z
dc.date.available2018-10-18T20:13:00Z
dc.identifier.issn0307904X
dc.identifier.doi10.1016/j.apm.2013.03.006
dc.identifier.urihttp://hdl.handle.net/11285/630354
dc.descriptionRecently, Rahman and Sarker [1] formulated a nonlinear cost function to include the costs of inventories, ordering, shipping and deliveries for a manufacturing system where raw materials enter into the assembly line from two different channels. In order to find the best integer solutions to the variables, they proposed an algorithm that uses the branch and bound concept. The authors claim that their algorithm finds an optimal solution. In this paper, we present a simple and better heuristic algorithm that provides better solutions with a lower number of evaluations than Rahman and Sarker's algorithm. © 2013 Elsevier Inc.
dc.languageeng
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84880577134&doi=10.1016%2fj.apm.2013.03.006&partnerID=40&md5=165daa9189bab1f00377931ec6ed84e2
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceApplied Mathematical Modelling
dc.subjectAssembly line
dc.subjectAssembly systems
dc.subjectInteger solutions
dc.subjectInventory
dc.subjectNon-linear integer programming
dc.subjectNonlinear cost functions
dc.subjectOptimal solutions
dc.subjectSupply chain models
dc.subjectAssembly
dc.subjectHeuristic algorithms
dc.subjectInteger programming
dc.subjectLinear programming
dc.subjectRaw materials
dc.subjectSupply chains
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleSupply chain models for an assembly system with preprocessing of raw materials: A simple and better algorithm
dc.typeArtículo
dc.identifier.volume37
dc.identifier.issue14-15
dc.identifier.startpage7883
dc.identifier.endpage7887
refterms.dateFOA2018-10-18T20:13:00Z


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