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
Activities in mining complexes contain multiple decisions that affect the operations of the system for the extraction, transformation, transport and storage of various subsoil components. The purpose of this research is the planning of continuous flow production systems for mixed products, in non-me...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8971
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8971
- Palabra clave:
- Bottleneck
Flow shop
Mining complex
Production scheduling
Sensitivity analysis
Extraction
Limestone
Logistics
Mathematical transformations
Optimization
Production control
Quarries
Soils
Analysis of alternatives
Bottleneck
Extraction process
Flow-shops
Mathematical optimizations
Production environments
Production scheduling
Production system
Sensitivity analysis
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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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 |
| title |
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 |
| spellingShingle |
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 Bottleneck Flow shop Mining complex Production scheduling Sensitivity analysis Extraction Limestone Logistics Mathematical transformations Optimization Production control Quarries Soils Analysis of alternatives Bottleneck Extraction process Flow-shops Mathematical optimizations Production environments Production scheduling Production system Sensitivity analysis |
| title_short |
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 |
| title_full |
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 |
| title_fullStr |
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 |
| title_full_unstemmed |
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 |
| title_sort |
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 |
| dc.contributor.editor.none.fl_str_mv |
Figueroa-Garcia J.C. Lopez-Santana E.R. Ferro-Escobar R. Villa Ramírez, José Luis |
| dc.subject.keywords.none.fl_str_mv |
Bottleneck Flow shop Mining complex Production scheduling Sensitivity analysis Extraction Limestone Logistics Mathematical transformations Optimization Production control Quarries Soils Analysis of alternatives Bottleneck Extraction process Flow-shops Mathematical optimizations Production environments Production scheduling Production system Sensitivity analysis |
| topic |
Bottleneck Flow shop Mining complex Production scheduling Sensitivity analysis Extraction Limestone Logistics Mathematical transformations Optimization Production control Quarries Soils Analysis of alternatives Bottleneck Extraction process Flow-shops Mathematical optimizations Production environments Production scheduling Production system Sensitivity analysis |
| description |
Activities in mining complexes contain multiple decisions that affect the operations of the system for the extraction, transformation, transport and storage of various subsoil components. The purpose of this research is the planning of continuous flow production systems for mixed products, in non-metallic mining extraction processes, considering bottlenecks and capacity planning. This paper presents a model for production, based on mathematical optimization, that facilitates the planning and management of operations in the area of extraction, crushing and transformation of a quarry of aggregates for construction, considering the resources and the constraints that allow to define effective strategies in the increase of the productivity of the lines of low production environment by scenarios. This research develops an analysis of bottlenecks and contrasts the nature of the production system by means of a mathematical model of optimization, which considers the capacities and balances in the flows of the Limestone production line. The mathematical model that maximizes profits can be adapted to systems of continuous flow production in mining complexes where their products are part of a reverse logistics process, analysis of alternatives of extraction, transformation and transport. © 2017, Springer International Publishing AG. |
| publishDate |
2017 |
| dc.date.issued.none.fl_str_mv |
2017 |
| dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:32:41Z |
| dc.date.available.none.fl_str_mv |
2020-03-26T16:32:41Z |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_c94f |
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info:eu-repo/semantics/conferenceObject |
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info:eu-repo/semantics/publishedVersion |
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Conferencia |
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publishedVersion |
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Communications in Computer and Information Science; Vol. 742, pp. 544-555 |
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9783319669625 |
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18650929 |
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https://hdl.handle.net/20.500.12585/8971 |
| dc.identifier.doi.none.fl_str_mv |
10.1007/978-3-319-66963-2_48 |
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Universidad Tecnológica de Bolívar |
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Repositorio UTB |
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57194034904 57193533853 57193504630 57195913974 57195913794 |
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Communications in Computer and Information Science; Vol. 742, pp. 544-555 9783319669625 18650929 10.1007/978-3-319-66963-2_48 Universidad Tecnológica de Bolívar Repositorio UTB 57194034904 57193533853 57193504630 57195913974 57195913794 |
| url |
https://hdl.handle.net/20.500.12585/8971 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.conferencedate.none.fl_str_mv |
27 September 2017 through 29 September 2017 |
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http://purl.org/coar/access_right/c_16ec |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/restrictedAccess |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial 4.0 Internacional http://purl.org/coar/access_right/c_16ec |
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restrictedAccess |
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Recurso electrónico |
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application/pdf |
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Springer Verlag |
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Springer Verlag |
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Universidad Tecnológica de Bolívar |
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4th Workshop on Engineering Applications, WEA 2017 |
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Figueroa-Garcia J.C.Lopez-Santana E.R.Ferro-Escobar R.Villa Ramírez, José LuisOspina-Mateus H.Acevedo Chedid, JaimeSalas-Navarro K.Morales-Londoño N.Montero-Perez J.2020-03-26T16:32:41Z2020-03-26T16:32:41Z2017Communications in Computer and Information Science; Vol. 742, pp. 544-555978331966962518650929https://hdl.handle.net/20.500.12585/897110.1007/978-3-319-66963-2_48Universidad Tecnológica de BolívarRepositorio UTB5719403490457193533853571935046305719591397457195913794Activities in mining complexes contain multiple decisions that affect the operations of the system for the extraction, transformation, transport and storage of various subsoil components. The purpose of this research is the planning of continuous flow production systems for mixed products, in non-metallic mining extraction processes, considering bottlenecks and capacity planning. This paper presents a model for production, based on mathematical optimization, that facilitates the planning and management of operations in the area of extraction, crushing and transformation of a quarry of aggregates for construction, considering the resources and the constraints that allow to define effective strategies in the increase of the productivity of the lines of low production environment by scenarios. This research develops an analysis of bottlenecks and contrasts the nature of the production system by means of a mathematical model of optimization, which considers the capacities and balances in the flows of the Limestone production line. The mathematical model that maximizes profits can be adapted to systems of continuous flow production in mining complexes where their products are part of a reverse logistics process, analysis of alternatives of extraction, transformation and transport. © 2017, Springer International Publishing AG.Recurso electrónicoapplication/pdfengSpringer Verlaghttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85030026163&doi=10.1007%2f978-3-319-66963-2_48&partnerID=40&md5=69e12f108d5403ea88f358f73f7aad084th Workshop on Engineering Applications, WEA 2017Model 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 capacityinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fBottleneckFlow shopMining complexProduction schedulingSensitivity analysisExtractionLimestoneLogisticsMathematical transformationsOptimizationProduction controlQuarriesSoilsAnalysis of alternativesBottleneckExtraction processFlow-shopsMathematical optimizationsProduction environmentsProduction schedulingProduction systemSensitivity analysis27 September 2017 through 29 September 2017Pimentel, B.S., Mateus, G.R., Almeida, F.A., Mathematical models for optimizing the global mining supply chain (2010) Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain, pp. 133-163Gómez, R.A., Correa, A.A., Análisis del transporte y distribución de materiales de construcción utilizando simulación discreta en 3D (2011) Boletín De Ciencias De La Tierra, 30, pp. 39-52Pimentel, B.S., Mateus, G.R., Almeida, F.A., Stochastic capacity planning in a global mining supply chain (2011) 2011 IEEE Workshop on Computational Intelligence in Production and Logistics Systems (CIPLS), pp. 1-8. , IEEEBodon, P., Fricke, C., Sandeman, T., Stanford, C., Modeling the mining supply chain from mine to port: A combined optimization and simulation approach (2011) J. Min. Sci., 47 (2), pp. 202-211Dimitrakopoulos, R., Stochastic optimization for strategic mine planning: A decade of developments (2011) J. Min. Sci., 47 (2), pp. 138-150Zhao, Y., Zhou, Y., Li, C., Cao, Z., SCM-based optimization of production planning for coal mine (2012) 2012 9Th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp. 968-972. , IEEEFung, J., Singh, G., Zinder, Y., Capacity planning in supply chains of mineral resources (2015) Inf. Sci., 316, pp. 397-418Goodfellow, R.C., Dimitrakopoulos, R., Global optimization of open pit mining complexes with uncertainty (2016) Appl. Soft Comput., 40, pp. 292-304Zhang, K., Kleit, A.N., Mining rate optimization considering the stockpiling: A theoretical economics and real option model (2016) Resour. Policy, 47, pp. 87-94Vernadat, F.B., Enterprise integration: On business process and enterprise activity modelling (1996) Concurrent Eng, 4 (3), pp. 219-228Vélez, J.G.D., Otero, L.F.R., Modelo matemático para la optimización de una cadena de suministro global con consideraciones de cupos de compra y periodos de pago (2012) El Hombre Y La Máquina, 38, pp. 6-21Benndorf, J., Dimitrakopoulos, R., Stochastic long-term production scheduling of iron ore deposits: Integrating joint multi-element geological uncertainty (2013) J. Min. Sci., 49 (1), pp. 68-81Godoy, M., Dimitrakopoulos, R., Managing risk and waste mining in long-term production scheduling of open-pit mines (2004) SME Trans, 316 (3), pp. 43-50. , https://www.researchgate.net/profile/Roussos_Dimitrakopoulos/publication/43458583_Managing_risk_and_waste_mining_in_long-term_production_scheduling/links/0f31752f9977473219000000/Managing-risk-and-waste-mining-in-long-term-production-scheduling.pdfLamghari, A., Dimitrakopoulos, R., Ferland, J.A., A variable neighbourhood descent algorithm for the open-pit mine production scheduling problem with metal uncertainty (2014) J. Oper. Res. Soc., 65 (9), pp. 1305-1314Montiel, L., Dimitrakopoulos, R., Stochastic mine production scheduling with multiple processes: Application at Escondida Norte, Chile (2013) J. Min. Sci., 49 (4), pp. 583-597Fung, J., Singh, G., Zinder, Y., Capacity planning in supply chains of mineral resources (2015) Inf. Sci., 316, pp. 397-428. , http://dx.doi.org/10.1016/j.ins.2014.11.015Shapiro, J., (2001) Modeling the Supply Chain, , Brooks/Cole-Thomson Learning, Pacific GroveCrainic, T.G., Laporte, G., Planning models for freight transportation (1997) Eur. J. Oper. Res., 97, pp. 409-438Solberg, J.J., Capacity planning with a stochastic workflow model (1981) AIIE Trans, 13, pp. 116-122Mehrjerdi, Z., The collaborative supply chain (2009) Assembly Autom, 29 (2), pp. 127-136Stadtler, H., Supply chain management and advanced planning –basics, overview and challenges (2005) Eur. J. Oper. Res., 163, pp. 575-588http://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8971/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8971oai:repositorio.utb.edu.co:20.500.12585/89712023-04-24 08:11:36.202Repositorio Institucional UTBrepositorioutb@utb.edu.co |