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Computación y Sistemas
versão On-line ISSN 2007-9737versão impressa ISSN 1405-5546
Resumo
SILVA, Paulo; PEREZ TELLEZ, Fernando e CARDIFF, John. An Univariable Approach for Forecasting Workload in the Maintenance Industry. Comp. y Sist. [online]. 2020, vol.24, n.2, pp.645-649. Epub 04-Out-2021. ISSN 2007-9737. https://doi.org/10.13053/cys-24-2-3399.
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.
Palavras-chave : Time series; machine learning; forecast; workload.
· texto em Inglês
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