An Univariable Approach for Forecasting Workload in the Maintenance Industry

Authors

Paulo Silva, Technological University Dublin
Fernando Pérez Téllez, Technological University DublinFollow
John Cardiff, Technological University DublinFollow

Document Type

Article

Rights

Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence

Disciplines

Computer Sciences

Publication Details

Computación y Sistemas

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.

DOI

http://dx.doi.org/10.13053/cys-24-2-3399

Recommended Citation

Silva, Paulo & Tellez, Fernando & Cardiff, John. (2020). An Univariable Approach for Forecasting Workload in the Maintenance Industry. Computación y Sistemas. 24. DOI; 10.13053/cys-24-2-3399.

Funder

Technological University Dublin