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Vehicle routing in drone-based package delivery services

机译:基于无人机的包裹送货服务中的车辆路由

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The Industry 4.0 enables the operation of new logistics equipment and new logistic solutions based on cyber-physical systems. The usage of new transport devices is discussed in this article in case of the Vehicle Routing Problem. In basic Vehicle Routing Problems, the demands of customers must be served. This article discusses a new Vehicle Routing Problem where drones are also used to improve the flexibility, reliability and cost efficiency of the whole last-mile solution. During the problem, a drone is assigned to the truck performing package delivery services, and some customers are visited by the truck while the drone is sent to certain customers located in the near environment of the truck. The drone has a capacity limit, so it is able to visit only a limited number of customers. After visiting the customers, the drone recovers the goods from the truck and serves the demands of new customers. In this article, the above mentioned problem is solved with construction and improvement algorithms. The construction algorithms are the Nearest Neighbour Algorithm and Arbitrary Insertion Algorithm, the improvement algorithms are the Genetic Algorithm and the Hill Climbing Algorithm.
机译:行业4.0可实现新物流设备的运行和基于网络物理系统的新物流解决方案。在车辆路由问题的情况下,本文讨论了新传输设备的使用情况。在基础车辆路由问题中,必须提供客户的需求。本文讨论了一种新的车辆路由问题,无人机也用于改善整个最后一英里解决方案的灵活性,可靠性和成本效率。在问题期间,将无人机分配给卡车执行封装送货服务,并且卡车访问了一些客户,而无人机将被发送给位于卡车近近环境的某些客户。无人机有一个容量限制,因此它只能访问有限数量的客户。访问客户后,无人机将货物从卡车中恢复并为新客户提供服务。在本文中,以上述问题用施工和改进算法解决了。建筑算法是最接近的邻居算法和任意插入算法,改进算法是遗传算法和爬山爬山算法。

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