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Design and optimization of capacitated supply chain networks including quality measures

dc.creatorJosé F. Herbert Acero
dc.date2014
dc.date.accessioned2018-10-18T20:12:57Z
dc.date.available2018-10-18T20:12:57Z
dc.identifier.issn1024123X
dc.identifier.doi10.1155/2014/218913
dc.identifier.urihttp://hdl.handle.net/11285/630336
dc.descriptionThis paper presents (1) a novel capacitated model for supply chain network design which considers manufacturing, distribution, and quality costs (named SCND-COQ model) and (2) five combinatorial optimization methods, based on nonlinear optimization, heuristic, and metaheuristic approaches, which are used to solve realistic instances of practical size. The SCND-COQ model is a mixed-integer nonlinear problem which can be used at a strategic planning level to design a supply chain network that maximizes the total profit subject to meeting an overall quality level of the final product at minimum costs. The SCND-COQ model computes the quality-related costs for the whole supply chain network considering the interdependencies among business entities. The effectiveness of the proposed solution approaches is shown using numerical experiments. These methods allow solving more realistic (capacitated) supply chain network design problems including quality-related costs (inspections, rework, opportunity costs, and others) within a reasonable computational time. © 2014 Krystel K. Castillo-Villar et al.
dc.languageeng
dc.publisherHindawi Publishing Corporation
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84899471031&doi=10.1155%2f2014%2f218913&partnerID=40&md5=10b1042e0617f018fd278397b72a0724
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceMathematical Problems in Engineering
dc.subjectCosts
dc.subjectDesign
dc.subjectFace recognition
dc.subjectOptimization
dc.subjectQuality management
dc.subjectCapacitated supply chain
dc.subjectDesign and optimization
dc.subjectMeta-heuristic approach
dc.subjectNon-linear optimization
dc.subjectNonlinear problems
dc.subjectNumerical experiments
dc.subjectSupply chain network
dc.subjectSupply chain network design
dc.subjectSupply chains
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleDesign and optimization of capacitated supply chain networks including quality measures
dc.typeArtículo
dc.identifier.volume2014
refterms.dateFOA2018-10-18T20:12:57Z


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