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 language | English |
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Pages (from-to) | 645-649 |
Number of pages | 5 |
Journal | Computacion y Sistemas |
Volume | 24 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- Forecast
- Machine learning
- Time series
- Workload