| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560497 |
| ISSN: | 1405-5546 |
| Autors: | Silva, Paulo1 Pérez Téllez, Fernando1 Cardiff, John1 |
| Institucions: | 1Technological University Dublin, Dublín. Irlanda |
| Any: | 2020 |
| Període: | Abr-Jun |
| Volum: | 24 |
| Número: | 2 |
| Paginació: | 645-649 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Resumen en inglés | 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. |
| Disciplines | Ciencias de la computación |
| Paraules clau: | Inteligencia artificial |
| Keyword: | Time series, Machine learning, Forecast, Workload, Artificial intelligence |
| Text complet: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
