Demand-Coupled Fleet Lifecycle Optimization: A Joint Framework for Pricing, Maintenance Scheduling, and Disposition Timing
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Vitalii Kolesnykov
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Fleet lifecycle management in commercial vehicle rental operations is characterized by a structural decoupling of pricing, maintenance scheduling, and disposition decisions that systematically transfers mileage-intensive bookings to mechanically degraded vehicles, accelerating depreciation beyond the threshold at which residual value recovery remains commercially viable. This paper presents a demand-coupled fleet lifecycle optimization framework that treats vehicle physical condition as an endogenous continuous state variable jointly constraining pricing feasibility bounds, maintenance scheduling cost, and disposition timing within a scalarized dual-objective function solved by alternating finite-horizon dynamic programming and closed-form concave pricing optimization. The framework is evaluated on a 420-vehicle urban rental fleet over a 12-month operational horizon. Key results include an 18.7% reduction in maintenance scheduling opportunity cost relative to calendar-based scheduling, a 6.1 percentage-point improvement in residual value realization rate relative to the fixed 36-month calendar replacement policy.
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Authors
Vitalii Kolesnykov
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References:
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