A Generic Materials and Operations Planning Approach for Inventory Turnover Optimization in the Chemical Industry

Coronado Hernández, Jairo Rafael; Romero-Conrado, Alfonso R.; Ochoa-González, Olmedo; Quintero-Arango, Humberto; Vargas, Ximena; Gatica, Gustavo

Fecha

2020-05-22

Registro en:

Coronado-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

978-3-030-47678-6

https://hdl.handle.net/20.500.12585/9515

https://link.springer.com/chapter/10.1007/978-3-030-47679-3_12

10.1007/978-3-030-47679-3_12

Universidad Tecnológica de Bolívar

Repositorio Universidad Tecnológica de Bolívar

Autor

Coronado Hernández, Jairo Rafael

Romero-Conrado, Alfonso R.

Ochoa-González, Olmedo

Quintero-Arango, Humberto

Vargas, Ximena

Gatica, Gustavo

Institución

Universidad Tecnológica de Bolivar UTB (Colombia)

Resumen

Chemical 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.

Materias

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