Abstract

SILVA, Paulo; PEREZ TELLEZ, Fernando  and  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 Oct 04, 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.

Keywords : Time series; machine learning; forecast; workload.