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

Efren Vazquez Silva, Zoila Esther Morales Tabares

Research output: Contribution to journalArticle

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 contributionRegresión Múltiple para el Pronóstico de Repuestos para Equipos Médicos
Original languageEnglish (US)
Pages (from-to)1-5
JournalInternational Journal of Current Research
Volume11
Issue number11
DOIs
StatePublished - 30 Dec 2019

Keywords

  • Forecast
  • Maintenance management
  • Medical equipment
  • Spare parts

CACES Knowledge Areas

  • 727A Industrial and process design

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