Predictive vehicle maintenance system
Provider: Technologická agentura České republiky
Programme: Doprava 2020+
Implementation period: 01.02.20 - 31.12.22
Workplace:
Dopravní fakulta Jana Pernera - Katedra doprav. manag., market. a logist
Investigator: Šulc JaromírTeam member: Soušek Radovan
Description:
This project aims to create a pilot system for predictive vehicle maintenance, including: -Analysis and creation of advanced tools for supply chain and work force optimization, and design the tools for planning services and HR -New design of data warehouse, which enables the above and also enables the interconnection with the data from vehicle sensors -Implementation of machine learning techniques for vehicle breakage prediction -Recomendation for design of SW for dispatchers, terrain workers and management of the trapsort company. - Scheduling of bus maintenance by the P-graph.
This project aims to create a pilot system for predictive vehicle maintenance, including: -Analysis and creation of advanced tools for supply chain and work force optimization, and design the tools for planning services and HR -New design of data warehouse, which enables the above and also enables the interconnection with the data from vehicle sensors -Implementation of machine learning techniques for vehicle breakage prediction -Recomendation for design of SW for dispatchers, terrain workers and management of the trapsort company. - Scheduling of bus maintenance by the P-graph.
