Multiple Regressi on for the Forecast of Spare Parts for Medical Equipment

Zoila Esther Morales Tabares; Efren Vazquez Silva; Yailé Caballero Mota

doi:10.24941/ijcr.37392.12.2019

Multiple Regressi on for the Forecast of Spare Parts for Medical Equipment

Título traducido de la contribución: Regresión Múltiple para el Pronóstico de Repuestos para Equipos Médicos

Zoila Esther Morales Tabares, Efren Vazquez Silva, Yailé Caballero Mota

Grupo de Investigación en Nuevos Materiales y Procesos de Transformacion (GIMaT)

Producción científica: Contribución a una revista › Artículo

Resumen

La búsqueda constante de la eficiencia en la prestación de servicios hospitalarios enfrenta al sector de la salud con mayores desafíos en cuanto a la gestión del mantenimiento de los equipos médicos. La previsión de la demanda de repuestos es un proceso complejo debido a su comportamiento intermitente. Como parte de este proceso, en este manuscrito se propone el algoritmo PREDSTOCK para predecir el stock de repuestos de equipos médicos utilizando la Regresión Múltiple como técnica de estimación cuantitativa.

Título traducido de la contribución	Regresión Múltiple para el Pronóstico de Repuestos para Equipos Médicos
Idioma original	Inglés estadounidense
Páginas (desde-hasta)	1-5
Número de páginas	5
Publicación	International Journal of Current Research
Volumen	11
N.º	11
DOI	https://doi.org/10.24941/ijcr.37392.12.2019
Estado	Publicada - 30 dic. 2019

Palabras clave

Forecast
Maintenance management
Medical equipment
Spare parts

Areas de Conocimiento del CACES

727A Diseño industrial y de procesos

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10.24941/ijcr.37392.12.2019

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title = "Multiple Regressi on for the Forecast of Spare Parts for Medical Equipment",

abstract = "The constant search for efficiency in the provision of hospital services confronts the health sector with greater challenges in terms of managing the maintenance of medical equipment. Forecasting the demand for spare parts is a complex process due to their intermittent behaviour. As part of this process, the PREDSTOCK algorithm is proposed in this manuscript to predict the stock of spare parts for medical equipment using Multiple Regression as a quantitative estimation technique.",

keywords = "Forecast, Maintenance management, Medical equipment, Spare parts, Forecast, Maintenance management, Medical equipment, Spare parts",

author = "{Morales Tabares}, {Zoila Esther} and {Vazquez Silva}, Efren and {Caballero Mota}, Yail{\'e}",

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N2 - The constant search for efficiency in the provision of hospital services confronts the health sector with greater challenges in terms of managing the maintenance of medical equipment. Forecasting the demand for spare parts is a complex process due to their intermittent behaviour. As part of this process, the PREDSTOCK algorithm is proposed in this manuscript to predict the stock of spare parts for medical equipment using Multiple Regression as a quantitative estimation technique.

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KW - Maintenance management

KW - Medical equipment

KW - Spare parts

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KW - Maintenance management

KW - Medical equipment

KW - Spare parts

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Multiple Regressi on for the Forecast of Spare Parts for Medical Equipment

Resumen

Palabras clave

Areas de Conocimiento del CACES

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