An Univariable Approach for Forecasting Workload in the Maintenance Industry

Research output: Contribution to journalArticlepeer-review

Abstract

The forecasting of the workload in the maintenance industry is of great value to improve human resources allocation and reduce overwork. In this paper, we discuss the problem and the challenges it pertains. We analyze data from a company operating in the industry and present the results of several forecasting models.

Original languageEnglish
Pages (from-to)645-649
Number of pages5
JournalComputacion y Sistemas
Volume24
Issue number2
DOIs
Publication statusPublished - 2020

Keywords

  • Forecast
  • Machine learning
  • Time series
  • Workload

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