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dc.contributor.authorValderrama Balaguera, Juan Camilo
dc.contributor.authorCastro Silva, Hugo Fernando
dc.contributor.authorVelásquez Pérez, Torcoroma
dc.coverage.spatialColombiaen_US
dc.date.accessioned2025-10-06T21:11:06Z
dc.date.available2025-10-06T21:11:06Z
dc.date.issued2020-09-25
dc.identifier.issn1742-6596en_US
dc.identifier.urihttps://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5673
dc.description.abstractDurante los últimos años, el modelo de puntos de cambio se ha utilizado ampliamente para predecir series de datos y se pueden demostrar casos de éxito de su aplicación en diversas áreas. Sin embargo, la utilidad de la teoría de los puntos de cambio para el pronóstico de la demanda de medicamentos no ha sido probada. En esta investigación con un enfoque cuantitativo, se analiza el uso de la teoría de los puntos de cambio en el pronóstico de la demanda de medicamentos en los proveedores de atención médica en Colombia. Las previsiones obtenidas con la teoría del punto de cambio se comparan con las previsiones obtenidas con el método tradicional de Holt-Winters. Como resultado de este estudio, se identifica el «mejor» modelo y se presentan recomendaciones para la implementación del modelo propuesto. Este estudio es útil para los administradores de entidades que prestan servicios de salud interesados en optimizar la asignación presupuestaria y mejorar la estrategia de planificación de inventarios. Los resultados presentados en este artículo permitirán incorporar los resultados de la metodología en el campo del modelado de sistemas de inventarios de medicamentos.en_US
dc.language.isoengen_US
dc.relationhttps://iopscience.iop.org/article/10.1088/1742-6596/1513/1/012018/metaen_US
dc.titleAnálisis de puntos de cambio en la demanda de medicamentosen_US
dc.title.translatedChange-point analysis of the demand for medicinesen_US
dc.contributor.cvlacJuan Camilo Valderrama Balaguera [0000038230]en_US
dc.contributor.cvlacHugo Fernando Castro Silva [0001388686]
dc.contributor.cvlacTorcoroma Velásquez Pérez [0000304891]
dc.contributor.googlescholarJuan Camilo Valderrama Balaguera [t0baVLwAAAAJ]en_US
dc.contributor.googlescholarHugo Fernando Castro Silva [vxtjgAoAAAAJ]
dc.contributor.googlescholarTorcoroma Velásquez Pérez [DTtZtu4AAAAJ]
dc.contributor.orcidJuan Camilo Valderrama Balaguera [0000-0001-5917-6826]en_US
dc.contributor.orcidHugo Fernando Castro Silva [0000-0001-6020-402X]
dc.contributor.orcidTorcoroma Velásquez Pérez [0000-0002-2968-2338]
dc.contributor.researchgateJuan Camilo Valderrama Balaguera [Juan-Valderrama-2]en_US
dc.contributor.researchgateHugo Fernando Castro Silva [Hugo-Castro-Silva]
dc.contributor.researchgateTorcoroma Velásquez Pérez [Torcoroma-Perez]
dc.contributor.scopusHugo Fernando Castro Silva [57205121211]
dc.contributor.scopusTorcoroma Velásquez Pérez [57205116150]
dc.description.abstractenglishDuring the last years, the model of change points has been widely used to predict data series and it can be demonstrated success cases of its application in diverse areas. However, the usefulness of the theory of the points of change for the prognosis of the demand for medicines has not been proven. In this research with a quantitative approach, the use of the theory of points of change in prognosis of the demand for medicines in Healthcare Providers in Colombia is analyzed. The forecasts obtained with the theory of change point are compared with the forecasts obtained with traditional method of Holt-Winters. As a result of this study, the "best" model is identified and recommendations for the implementation of the proposed model are presented. This study is useful for administrators of entities providing health services interested in optimizing budget allocation and improving the inventory planning strategy. The results presented in this article, will allow to incorporate the results of the methodology in the field of modeling of systems of inventories of medicines.en_US
dc.subject.proposalAnálisisen_US
dc.subject.proposalpuntos de cambioen_US
dc.subject.proposaldemanda de medicamentosen_US
dc.subject.keywordsAnalysisen_US
dc.subject.keywordspoints of changeen_US
dc.subject.keywordsdemand for medicinesen_US
dc.publisher.facultyFacultad ingenieríasen_US
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTen_US
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dc.identifier.DOI10.1088/1742-6596/1513/1/012018en_US


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