Delivery Problem

The delivery problem encompasses the efficient and timely movement of goods or services, addressing challenges across diverse settings from warehouse automation to online retail. Current research focuses on optimizing delivery routes and schedules, often employing algorithms like reinforcement learning, multi-agent pathfinding (MAPF), and neural networks (e.g., attention models) to handle complex scenarios with deadlines, multiple agents, and dynamic environments. These advancements aim to improve operational efficiency, reduce costs, enhance customer satisfaction, and provide actionable insights into root causes of delivery failures, impacting various industries from logistics and manufacturing to healthcare.