dc.creatorCoronado-Hernández, Jairo R.
dc.creatorRomero-Conrado, Alfonso R.
dc.creatorOchoa-González, Olmedo
dc.creatorQuintero-Arango, Humberto
dc.creatorVargas, Ximena
dc.creatorGatica, Gustavo
dc.date2020-07-28T00:01:42Z
dc.date2020-07-28T00:01:42Z
dc.date2020
dc.date.accessioned2023-10-03T19:50:36Z
dc.date.available2023-10-03T19:50:36Z
dc.identifierhttps://hdl.handle.net/11323/6850
dc.identifierhttps://doi.org/10.1007/978-3-030-47679-3_12
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9172563
dc.descriptionChemical industries usually involve continuous and large-scale production processes that require demanding inventory control systems. This paper aims to show the results of the implementation of a mixed-integer programming model (MIP) based on the Generic Materials and Operations Planning Problem (GMOP) for optimizing the inventory turnover in a fertilizer company. Results showed significant improvements for Inventory Turnover Ratios and overall costs when compared with an empirical production planning method.
dc.formatapplication/pdf
dc.languageeng
dc.publisherCorporación Universidad de la Costa
dc.rightsCC0 1.0 Universal
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectInventory turnover
dc.subjectProduction planning
dc.subjectGMOP
dc.subjectFertilizers
dc.subjectChemical industry
dc.subjectOptimization
dc.titleA generic materials and operations planning approach for inventory turnover optimization in the chemical industry
dc.typePre-Publicación
dc.typehttp://purl.org/coar/resource_type/c_816b
dc.typeText
dc.typeinfo:eu-repo/semantics/preprint
dc.typeinfo:eu-repo/semantics/draft
dc.typehttp://purl.org/redcol/resource_type/ARTOTR
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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