The design of a decision support system addressing maintenance management for commercial vehicles is the aim of this work. Seizing the chance offered by an EU-funded project exploring improvements in lifecycle management from smart embedded systems usage, a predictive maintenance algorithm has been designed having the goal to apply predictive maintenance procedures on a real automotive scenario. The described approach represents the backbone of a (still under development) innovative system for the optimisation of maintenance interventions on a fleet of trucks. The new maintenance system is conceptualized in order to collect information and knowledge which can add value to all the stakeholders of the value chain.

Designing A Decision Support System For Trucks Predictive Maintenance

Zangiacomi A;Fornasiero R
2006

Abstract

The design of a decision support system addressing maintenance management for commercial vehicles is the aim of this work. Seizing the chance offered by an EU-funded project exploring improvements in lifecycle management from smart embedded systems usage, a predictive maintenance algorithm has been designed having the goal to apply predictive maintenance procedures on a real automotive scenario. The described approach represents the backbone of a (still under development) innovative system for the optimisation of maintenance interventions on a fleet of trucks. The new maintenance system is conceptualized in order to collect information and knowledge which can add value to all the stakeholders of the value chain.
2006
Istituto di Sistemi e Tecnologie Industriali Intelligenti per il Manifatturiero Avanzato - STIIMA (ex ITIA)
978-3-902661-04-3
Decision Support System
Predictive Maintenance
Commercial Vehicles
Scheduling Algorithm
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/68394
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