dc.creatorCoronado Hernández, Jairo Rafael
dc.creatorRomero-Conrado, Alfonso R.
dc.creatorOchoa-González, Olmedo
dc.creatorQuintero-Arango, Humberto
dc.creatorVargas, Ximena
dc.creatorGatica, Gustavo
dc.date.accessioned2020-10-30T16:14:10Z
dc.date.available2020-10-30T16:14:10Z
dc.date.created2020-10-30T16:14:10Z
dc.date.issued2020-05-22
dc.identifierCoronado-Hernández J.R., Romero-Conrado A.R., Ochoa-González O., Quintero-Arango H., Vargas X., Gatica G. (2020) A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry. In: Saeed K., Dvorský J. (eds) Computer Information Systems and Industrial Management. CISIM 2020. Lecture Notes in Computer Science, vol 12133. Springer, Cham. https://doi.org/10.1007/978-3-030-47679-3_12
dc.identifier978-3-030-47678-6
dc.identifierhttps://hdl.handle.net/20.500.12585/9515
dc.identifierhttps://link.springer.com/chapter/10.1007/978-3-030-47679-3_12
dc.identifier10.1007/978-3-030-47679-3_12
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio Universidad Tecnológica de Bolívar
dc.description.abstractChemical 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.languageeng
dc.publisherCartagena de Indias
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.sourceLecture Notes in Computer Science, vol 12133.
dc.sourceComputer Information Systems and Industrial Management - 19th International Conference, CISIM 2020, Proceedings. 134.145
dc.titleA Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry


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