Last Mile

Last-mile delivery, the final leg of a shipment's journey to the customer, is a critical area of logistics research focused on optimizing efficiency, cost, and sustainability. Current research emphasizes developing advanced algorithms, such as evolutionary algorithms, reinforcement learning, and graph-based neural networks, to address challenges like route planning, vehicle scheduling (including drone integration), and demand prediction. These efforts leverage large datasets and incorporate factors like driver preferences, energy consumption, and fairness considerations to improve operational efficiency and customer satisfaction, impacting both academic understanding and practical delivery operations.