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.
| Translated title of the contribution | Regresión Múltiple para el Pronóstico de Repuestos para Equipos Médicos |
|---|---|
| Original language | English (US) |
| Pages (from-to) | 1-5 |
| Number of pages | 5 |
| Journal | International Journal of Current Research |
| Volume | 11 |
| Issue number | 11 |
| DOIs | |
| State | Published - 30 Dec 2019 |
Keywords
- Forecast
- Maintenance management
- Medical equipment
- Spare parts
CACES Knowledge Areas
- 727A Industrial and process design
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