Delivery optimization via heterogeneous fleet

This research optimizes tire distribution operations through a heterogeneous fleet vehicle routing problem with time window (HFVRPTW) solved with Google OR- Tools. The model minimizes total transportation costs, including fixed and distance- based variable costs, while meeting customer demands from a central depot. A heterogeneous fleet with varying capacities and cost structures is considered, enabling efficient vehicle allocation and allowing multiple trips per vehicle. By addressing key constraints such as vehicle capacity, demand, and route distances, the model determines optimal routes and vehicle assignments. Results show that a heterogeneous fleet provides greater flexibility and significant cost savings compared to a uniform fleet, offering practical insights for logistics optimization and efficiency improvement in distribution networks.