A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia)

This article presents a mathematical model of the Supply chain of non-metallic mining. The model considers uncertainty scenarios in materials, elements for capacity planning in a multilevel chain and with multiple products. The mathematical model is collaborative and maximizes the profits of the act...

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Autores:
Ospina-Mateus, Holman
Montero-Perez, Jairo
Acevedo Chedid, Jaime
Salas-Navarro, Katherine
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/9558
Acceso en línea:
https://hdl.handle.net/20.500.12585/9558
https://link.springer.com/chapter/10.1007/978-3-030-61834-6_17
Palabra clave:
Mining complex
Supply chain
Mineral
Non-metallic
Optimization
Mathematical model
Limestone
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
Description
Summary:This article presents a mathematical model of the Supply chain of non-metallic mining. The model considers uncertainty scenarios in materials, elements for capacity planning in a multilevel chain and with multiple products. The mathematical model is collaborative and maximizes the profits of the actors in the supply chain. The model is implemented in Calamarí-Sucre mining district (Colombia). The scenario is applied to the extraction, processing, storage, and distribution of limestone. To solve the model, the GAMS software was used through libraries of relaxed mixed nonlinear programming - RMINLP and the DICOPT solver. The results indicate that the greatest benefits occur in a scenario of the high provision of raw materials. The equity in the economic benefits show a dynamics of vertical integration in the sector. The model applied to non-metallic mining complexes helps determine optimal strategies and decisions in different echelons.