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dc.creatorLeopoldo Eduardo Cárdenas Barrón
dc.date2012
dc.date.accessioned2018-10-18T20:12:59Z
dc.date.available2018-10-18T20:12:59Z
dc.identifier.issn8957177
dc.identifier.doi10.1016/j.mcm.2011.12.051
dc.identifier.urihttp://hdl.handle.net/11285/630347
dc.descriptionThe basic EOQ/EPQ inventory models with backorders have been developed from different perspectives by several researchers. However, the arguments to locate and guarantee the optimal solution are not complete. This paper presents a complete and analytic solution procedure to the EOQ/EPQ inventory models with linear and fixed backorder costs to locate and ensure the optimal solutions. First, the sufficient and necessary conditions for the existences of the optimal solution are developed. Second, in the case if these conditions are not satisfied, then also the optimal solutions are identified for this situation. The final results are two lemmas and four useful theorems to obtain the optimal solutions to both inventory problems. © 2012 Elsevier Ltd.
dc.languageeng
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84859951115&doi=10.1016%2fj.mcm.2011.12.051&partnerID=40&md5=55ab7c2659dfac6af58539aa1185306b
dc.relationInvestigadores
dc.relationEstudiantes
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourceMathematical and Computer Modelling
dc.subjectAnalytic solution
dc.subjectBackorders
dc.subjectComplete solutions
dc.subjectConvexity
dc.subjectEOQ
dc.subjectEPQ
dc.subjectEPQ inventory models
dc.subjectInventory models
dc.subjectInventory problem
dc.subjectOptimal solutions
dc.subjectSufficient and necessary condition
dc.subjectCosts
dc.subjectInventory control
dc.subjectOptimal systems
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍA
dc.titleThe complete solution procedure for the EOQ and EPQ inventory models with linear and fixed backorder costs
dc.typeArtículo
dc.identifier.volume55
dc.identifier.issue12-nov
dc.identifier.startpage2151
dc.identifier.endpage2156
refterms.dateFOA2018-10-18T20:12:59Z


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