A conceptual prescriptive maintenance framework for a vehicle fleet with several heterogeneous factors
Sabrine Dachraoui, Bruno CastanierPurpose
This paper proposes a conceptual prescriptive maintenance (PsM) framework for a heterogeneous fleet of degrading vehicles, aiming to synchronize maintenance schedules and reduce inventory and operational costs.
Design/methodology/approach
A mathematical framework is developed using real-time degradation data from inspections. The policy prescribes two actions: vehicle swaps to optimize fleet management and usage rate adjustments to influence individual degradation trajectories. A simplified case study with numerical examples illustrates the approach.
Findings
Results show that the policy effectively manages fleet heterogeneity and achieves cost savings compared to conventional maintenance strategies.
Originality/value
The contribution lies in explicitly linking system usage with degradation. Unlike predictive or condition-based approaches, the policy prescribes both maintenance actions and operational adjustments, broadening the decision space for fleet optimization.