Simulación de sistemas

dc.creatorCorporación Universidad de la Costa
dc.date2020-07-22T19:19:34Z
dc.date2020-07-22T19:19:34Z
dc.date2020
dc.date.accessioned2023-10-03T18:57:22Z
dc.date.available2023-10-03T18:57:22Z
dc.identifierhttps://hdl.handle.net/11323/6810
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9166499
dc.descriptionEn todos los campos de la Gerencia de Operaciones la simulación se ha convertido en herramienta vital para la toma de decisiones. En la actualidad la simulación es utilizada para diseñar, analizar y evaluar el desempeño de los sistemas de producción y prestación de servicios en puertos, aeropuertos, bancos, hospitales y centros de distribución, entre otros. Las decisiones estratégicas y tácticas que se toman diariamente en las empresas pueden ser abordadas desde la simulación, ya que permite analizar los problemas en los cuales la incertidumbre y el riesgo se conjugan de manera relevante.
dc.formatapplication/pdf
dc.languagespa
dc.publisherCorporación Universidad de la costa
dc.publisherIngeniería Industrial
dc.relationContenidos académicos por cátedra
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dc.relationNuñez-Perez, N., Ortíz-Barrios, M., McClean, S., Salas-Navarro, K., Jimenez-Delgado, G., & Castillo-Zea, A. (2017). Discrete-event simulation to reduce waiting time in accident and emergency departments: A case study in a district general clinic. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10586 LNCS). https://doi.org/10.1007/978-3-319-67585-5_37
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dc.relationSilva, J., Gaitán, M., Varela, N., & Lezama, O. B. P. (2020). Engineering teaching: Simulation, industry 4.0 and big data. Advances in Intelligent Systems and Computing (Vol. 1108 AISC). https://doi.org/10.1007/978-3-030-37218-7_26
dc.relationSilva, J., Varela, N., & Lezama, O. B. P. (2020). Optimizing street mobility through a NetLogo simulation environment. Advances in Intelligent Systems and Computing (Vol. 1108 AISC). https://doi.org/10.1007/978-3-030-37218-7_6
dc.relationReyes Mejia, R., Troncoso Mendoza, B., & Troncoso Palacio, A. (2019). Discrete Event Simulation Applying Lean methodologies: Case study. Wooden Sector. IJMSOR: International Journal of Management Science & Operation Research, 4(1). https://doi.org/10.17981/ijmsor.04.01.02
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dc.relationdi Mauro, G., Ferreyra, R., Suárez, J., & Jurado, A. (2015). Sobretensiones por Ferroresonancia en un Sistema de Distribución Eléctrica Rural: Reporte de Caso y Simulación. INGE CUC, 11(1), 34-47. Recuperado a partir de https://revistascientificas.cuc.edu.co/ingecuc/article/view/378
dc.rightsCC0 1.0 Universal
dc.rightshttp://creativecommons.org/publicdomain/zero/1.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectGerencia de operaciones
dc.subjectToma de decisiones
dc.subjectSimulación
dc.titleSimulación de sistemas
dc.typeOtros
dc.typehttp://purl.org/coar/resource_type/c_1843
dc.typeText
dc.typeinfo:eu-repo/semantics/other
dc.typeinfo:eu-repo/semantics/submittedVersion
dc.typehttp://purl.org/redcol/resource_type/ARTOTR
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa


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