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...
- 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
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A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia) |
| title |
A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia) |
| spellingShingle |
A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia) Mining complex Supply chain Mineral Non-metallic Optimization Mathematical model Limestone |
| title_short |
A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia) |
| title_full |
A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia) |
| title_fullStr |
A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia) |
| title_full_unstemmed |
A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia) |
| title_sort |
A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia) |
| dc.creator.fl_str_mv |
Ospina-Mateus, Holman Montero-Perez, Jairo Acevedo Chedid, Jaime Salas-Navarro, Katherine |
| dc.contributor.author.none.fl_str_mv |
Ospina-Mateus, Holman Montero-Perez, Jairo Acevedo Chedid, Jaime Salas-Navarro, Katherine |
| dc.subject.keywords.spa.fl_str_mv |
Mining complex Supply chain Mineral Non-metallic Optimization Mathematical model Limestone |
| topic |
Mining complex Supply chain Mineral Non-metallic Optimization Mathematical model Limestone |
| description |
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. |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2020-11-05T21:04:57Z |
| dc.date.available.none.fl_str_mv |
2020-11-05T21:04:57Z |
| dc.date.issued.none.fl_str_mv |
2020-10-08 |
| dc.date.submitted.none.fl_str_mv |
2020-11-03 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
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publishedVersion |
| dc.identifier.citation.spa.fl_str_mv |
Ospina-Mateus H., Montero-Perez J., Acevedo-Chedid J., Salas-Navarro K., Morales-Londoño N. (2020) A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia). In: Figueroa-García J.C., Garay-Rairán F.S., Hernández-Pérez G.J., Díaz-Gutierrez Y. (eds) Applied Computer Sciences in Engineering. WEA 2020. Communications in Computer and Information Science, vol 1274. Springer, Cham. https://doi.org/10.1007/978-3-030-61834-6_17 |
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https://hdl.handle.net/20.500.12585/9558 |
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https://link.springer.com/chapter/10.1007/978-3-030-61834-6_17 |
| dc.identifier.doi.none.fl_str_mv |
10.1007/978-3-030-61834-6_17 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Tecnológica de Bolívar |
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Repositorio Universidad Tecnológica de Bolívar |
| identifier_str_mv |
Ospina-Mateus H., Montero-Perez J., Acevedo-Chedid J., Salas-Navarro K., Morales-Londoño N. (2020) A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia). In: Figueroa-García J.C., Garay-Rairán F.S., Hernández-Pérez G.J., Díaz-Gutierrez Y. (eds) Applied Computer Sciences in Engineering. WEA 2020. Communications in Computer and Information Science, vol 1274. Springer, Cham. https://doi.org/10.1007/978-3-030-61834-6_17 10.1007/978-3-030-61834-6_17 Universidad Tecnológica de Bolívar Repositorio Universidad Tecnológica de Bolívar |
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https://hdl.handle.net/20.500.12585/9558 https://link.springer.com/chapter/10.1007/978-3-030-61834-6_17 |
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eng |
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eng |
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Calamarí-Sucre (Colombia) |
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Cartagena de Indias |
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Applied Computer Sciences in Engineering. WEA 2020. Communications in Computer and Information Science, vol 1274 |
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Ospina-Mateus, Holman1b4b1bc0-3606-4c14-bb13-dbc9d4251891Montero-Perez, Jairo2349ac0a-f4be-4f47-9903-d805c80b45bdAcevedo Chedid, Jaime11cdb651-1161-436d-ac47-88a330629d17Salas-Navarro, Katherine03a0bbbb-787c-472e-83aa-8a04bb938fa7Calamarí-Sucre (Colombia)2020-11-05T21:04:57Z2020-11-05T21:04:57Z2020-10-082020-11-03Ospina-Mateus H., Montero-Perez J., Acevedo-Chedid J., Salas-Navarro K., Morales-Londoño N. (2020) A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia). In: Figueroa-García J.C., Garay-Rairán F.S., Hernández-Pérez G.J., Díaz-Gutierrez Y. (eds) Applied Computer Sciences in Engineering. WEA 2020. Communications in Computer and Information Science, vol 1274. Springer, Cham. https://doi.org/10.1007/978-3-030-61834-6_17https://hdl.handle.net/20.500.12585/9558https://link.springer.com/chapter/10.1007/978-3-030-61834-6_1710.1007/978-3-030-61834-6_17Universidad Tecnológica de BolívarRepositorio Universidad Tecnológica de BolívarThis 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.application/pdfengApplied Computer Sciences in Engineering. WEA 2020. Communications in Computer and Information Science, vol 1274A Mathematical Model for the Optimization of the Non-metallic Mining Supply Chain in the Mining District of Calamarí-Sucre (Colombia)info:eu-repo/semantics/lectureinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_8544Mining complexSupply chainMineralNon-metallicOptimizationMathematical modelLimestoneinfo:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbCartagena de IndiasPúblico generalCarter, B.: Boom, Bust, Boom: A Story About Copper, The Metal Rhat Runs the World, 1st edn. Scribner, New York (2012)Pimentel, B.S., Gonzalez, E.S., Barbosa, G.N.: Decision-support models for sustainable mining networks: fundamentals and challenges. J. Cleaner Prod. 112, 2145–2157 (2016)Hopwood, P.: Tracking the trends 2014: ten of the top issues mining companies will face in the coming year. Tech. rep. Deloitte e Global Mining, Canada (2014)Pimentel, B.S., Mateus, G.R., Almeida, F.A.: Mathematical models for optimizing the global mining supply chain. In: Intelligent Systems in Operations: Models, Methods and Applications, B. Nag, Ed. Hershey, Pennsylvania, pp. 133–163. IGI Global (2010)Cárdenas, M, Reina, M.: La minería en Colombia: Impacto Socioeconómico y fiscal. Fedesarrollo, Colombia, pp. 10–15 (2008)Ericsson, M., Hodge, A.: Trends in the mining and metals industry. In: Mining’s Contribution to Sustainable Development. International Council on Mining and Minerals (ICMM), London, UK, p. 16 (2012)Measham, T.G., Haslam Mckenzie, F., Moffat, K., Franks, D.M.: An expanded role for the mining sector in Australian society? Rural Soc. 22(2), 184–194 (2013)Xifengru, Houxilin, Chenerdong, Wangweiwei: Discussion in the mining industry of ecology and sustainable development. In: BMEI 2011 - Proceedings 2011 International Conference on Business Management and Electronic Information, vol. 1, pp. 81–83 (2011).Gómez, R., Correa, A.: Análisis del transporte y distribución de materiales de Construcción utilizando simulación discreta en 3D. Boletín de ciencias de la tierra - Número 30, Medellín, ISSN 0120 - 3630. pp 39-52 (2011)Ministerio de Minas: Anuario estadístico minero 2007–2012 (2014).UPME: El plan nacional para desarrollo minero visión 2019 (2006). www.upme.gov.co/ Docs/PNDM_2019_Final.pdfSalas Navarro, K., Chedid, J.A., Caruso, N.M., Sana, S.S.: An inventory model of three-layer supply chain of wood and furniture industry in the Caribbean region of Colombia. Int. J. Syst. Sci. Oper. Logistics 5(1), 69–86 (2018).Pimentel, B.S., Mateus, G.R., Almeida, F.A.: Stochastic capacity planning in a global mining supply chain. In: 2011 IEEE Workshop On Computational Intelligence in Production and Logistics Systems (CIPLS), pp. 1–8. IEEE (2011)Bodon, P., Fricke, C., Sandeman, T., Stanford, C.: Modeling the mining supply chain from mine to port: a combined optimization and simulation approach. J. Min. Sci. 47(2), 202–211 (2011)Dimitrakopoulos, R.: Strategic mine planning under uncertainty. J. Min. Sci. 47(2), 138–150 (2011)Montiel, L., Dimitrakopoulos, R.: Stochastic mine production scheduling with multiple processes: Application at Escondida Norte, Chile. J. Min. Sci. 49(4), 583–597 (2013).Fung, J., Singh, G., Zinder, Y.: Capacity planning in supply chains of mineral resources. Inf. Sci. 316, 397–418 (2015).Goodfellow, R.C., Dimitrakopoulos, R.: Global optimization of open pit mining complexes with uncertainty. Appl. Soft Comput. 40, 292–304 (2016).Ospina-Mateus, H., Acevedo-Chedid, J., Salas-Navarro, K., Morales-Londoño, N., Montero-Perez, J.: Model of optimization of mining complex for the planning of flow of quarry production of limestone in multiple products and with elements for the analysis of the capacity. In: Workshop on Engineering Applications, pp. 544–555. Springer, Cham, September 2017.Montiel, L., Dimitrakopoulos, R.: Optimizing mining complexes with multiple processing and transportation alternatives: an uncertainty-based approach. Eur. J. Oper. Res. 247(1), 166–178 (2015)Hennet, J.C., Arda, Y.: Supply chain coordination: a game-theory approach. Eng. Appl. Artif. Intell. 21(3), 399–405 (2008).Zhao, Y., Wang, S., Cheng, T.C.E., Yang, X., Huang, Z.: Coordination of supply chains by option contracts: a cooperative game theory approach. Eur. J. Oper. Res. 207(2), 668–675 (2010)Zhang, K., Kleit, A.N.: Mining rate optimization considering the stockpiling: a theoretical economics and real option model. Resour. 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