Artículo Scopus
Real-time fleet management decision support system with security constraints.
Registro en:
10.1007/s11750-020-00565-y
Autor
Barrera, Javiera
Carrasco, Rodrigo
Moreno, Eduardo
Institución
Resumen
Intelligent transportation, and in particular, feet management, has been a forefront concern for a plethora of industries. This statement is especially true for the produc_x005F_x0002_tion of commodities, where transportation represents a central element for opera_x005F_x0002_tional continuity. Additionally, in many industries, and in particular those with haz_x005F_x0002_ardous environments, feet control must satisfy a wide range of security restrictions to ensure that risks are kept at bay and accidents are minimum. Furthermore, in these environments, any decision support tool must cope with noisy and incomplete data and give recommendations every few minutes. In this work, a fast and efcient decision support tool is presented to help feet managers oversee and control ore trucks, in a mining setting. The main objective of this system is to help managers avoid interactions between ore trucks and personnel buses, one of the most critical security constraints in our case study, keeping a minimum security distance between the two at all times. Furthermore, additional algorithms are developed and imple_x005F_x0002_mented, so that this approach can work with real-life noisy GPS data. Through the use of historical data, the performance of this decision support system is studied, validating that it works under the real-life conditions presented by the company. The experimental results show that the proposed approach improved truck and road utili_x005F_x0002_zation signifcantly while allowing the feet manager to control the security distance required by their procedures