Publicación:
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

Vista sencilla de ítem
datacite.rightshttp://purl.org/coar/access_right/c_16ec
dc.contributor.authorVilla Ramírez, José Luis
dc.contributor.authorAcevedo Chedid, Jaime Antonio
dc.contributor.authorMorales Londoño, Natalie
dc.contributor.authorOspina Mateus, Holman
dc.contributor.editorFigueroa-García J.C.
dc.contributor.editorLópez-Santana E.R.
dc.contributor.editorFerro-Escobar R.
dc.contributor.editorVilla Ramírez, José Luis
dc.creatorSalas-Navarro K.
dc.creatorMontero-Perez J.
dc.date.accessioned2020-03-26T16:32:41Z
dc.date.available2020-03-26T16:32:41Z
dc.date.issued2017
dc.description.abstractActivities 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.eng
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.identifier.citationCommunications in Computer and Information Science; Vol. 742, pp. 544-555
dc.identifier.doi10.1007/978-3-319-66963-2_48
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.isbn9783319669625
dc.identifier.issn18650929
dc.identifier.orcid57194034904
dc.identifier.orcid57193533853
dc.identifier.orcid57193504630
dc.identifier.orcid57195913974
dc.identifier.orcid57195913794
dc.identifier.reponameRepositorio UTB
dc.identifier.urihttps://hdl.handle.net/20.500.12585/8971
dc.language.isoeng
dc.publisherSpringer Verlag
dc.relation.conferencedate27 September 2017 through 29 September 2017
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85030026163&doi=10.1007%2f978-3-319-66963-2_48&partnerID=40&md5=69e12f108d5403ea88f358f73f7aad08
dc.source.event4th Workshop on Engineering Applications, WEA 2017
dc.subject.keywordsBottleneck
dc.subject.keywordsFlow shop
dc.subject.keywordsMining complex
dc.subject.keywordsProduction scheduling
dc.subject.keywordsSensitivity analysis
dc.subject.keywordsExtraction
dc.subject.keywordsLimestone
dc.subject.keywordsLogistics
dc.subject.keywordsMathematical transformations
dc.subject.keywordsOptimization
dc.subject.keywordsProduction control
dc.subject.keywordsQuarries
dc.subject.keywordsSoils
dc.subject.keywordsAnalysis of alternatives
dc.subject.keywordsBottleneck
dc.subject.keywordsExtraction process
dc.subject.keywordsFlow-shops
dc.subject.keywordsMathematical optimizations
dc.subject.keywordsProduction environments
dc.subject.keywordsProduction scheduling
dc.subject.keywordsProduction system
dc.subject.keywordsSensitivity analysis
dc.titleModel 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.typeConferencia
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dcterms.bibliographicCitationPimentel, 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. 133-163
dcterms.bibliographicCitationGómez, 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. 39-52
dcterms.bibliographicCitationPimentel, 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. , IEEE
dcterms.bibliographicCitationBodon, 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. 202-211
dcterms.bibliographicCitationDimitrakopoulos, R., Stochastic optimization for strategic mine planning: A decade of developments (2011) J. Min. Sci., 47 (2), pp. 138-150
dcterms.bibliographicCitationZhao, 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. , IEEE
dcterms.bibliographicCitationFung, J., Singh, G., Zinder, Y., Capacity planning in supply chains of mineral resources (2015) Inf. Sci., 316, pp. 397-418
dcterms.bibliographicCitationGoodfellow, R.C., Dimitrakopoulos, R., Global optimization of open pit mining complexes with uncertainty (2016) Appl. Soft Comput., 40, pp. 292-304
dcterms.bibliographicCitationZhang, K., Kleit, A.N., Mining rate optimization considering the stockpiling: A theoretical economics and real option model (2016) Resour. Policy, 47, pp. 87-94
dcterms.bibliographicCitationVernadat, F.B., Enterprise integration: On business process and enterprise activity modelling (1996) Concurrent Eng, 4 (3), pp. 219-228
dcterms.bibliographicCitationVélez, 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. 6-21
dcterms.bibliographicCitationBenndorf, 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. 68-81
dcterms.bibliographicCitationGodoy, 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.pdf
dcterms.bibliographicCitationLamghari, 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. 1305-1314
dcterms.bibliographicCitationMontiel, L., Dimitrakopoulos, R., Stochastic mine production scheduling with multiple processes: Application at Escondida Norte, Chile (2013) J. Min. Sci., 49 (4), pp. 583-597
dcterms.bibliographicCitationFung, 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.2014.11.015
dcterms.bibliographicCitationShapiro, J., (2001) Modeling the Supply Chain, , Brooks/Cole-Thomson Learning, Pacific Grove
dcterms.bibliographicCitationCrainic, T.G., Laporte, G., Planning models for freight transportation (1997) Eur. J. Oper. Res., 97, pp. 409-438
dcterms.bibliographicCitationSolberg, J.J., Capacity planning with a stochastic workflow model (1981) AIIE Trans, 13, pp. 116-122
dcterms.bibliographicCitationMehrjerdi, Z., The collaborative supply chain (2009) Assembly Autom, 29 (2), pp. 127-136
dcterms.bibliographicCitationStadtler, H., Supply chain management and advanced planning –basics, overview and challenges (2005) Eur. J. Oper. Res., 163, pp. 575-588
dspace.entity.typePublication
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
relation.isAuthorOfPublication62d4fdb2-3ee9-4664-9a51-e2913dfb115e
relation.isAuthorOfPublication33c9ba39-16da-4fee-a9e4-0138624af0ab
relation.isAuthorOfPublication77900024-bf0d-4d3d-8127-567b58671ce7
relation.isAuthorOfPublication6659df13-8a59-429c-88d6-97995d52be5a
relation.isAuthorOfPublication.latestForDiscovery62d4fdb2-3ee9-4664-9a51-e2913dfb115e
relation.isEditorOfPublication62d4fdb2-3ee9-4664-9a51-e2913dfb115e
relation.isEditorOfPublication.latestForDiscovery62d4fdb2-3ee9-4664-9a51-e2913dfb115e

Archivos

Colecciones

Productos de investigación