Cooperative route planning for the drone and truck in delivery services: A bi-objective optimisation approach. Issue 10 (2nd October 2020)

• Record Type: Journal Article
• Authors: Wang, Kangzhou; Yuan, Biao; Zhao, Mengting; Lu, Yuwei
• Is Part Of: Journal of the Operational Research Society. Volume 71:Issue 10(2020)
• Page Start: 1657
• Page End: 1674
• Publication Date: 2020-10-02
• Subjects: Logistics -- travelling salesman problem -- multi-objective optimisation -- drone-assisted delivery -- metaheuristics; Operations research -- Periodicals; 658.4034
• DOI: 10.1080/01605682.2019.1621671
• Languages: English
• ISSNs: 0160-5682

Abstract

Abstract: The deployment of drones to support the last-mile delivery has been initially attempted by several companies such as Amazon and Alibaba. The complementary capabilities of the drone and the truck pose an innovative delivery mode. The relevant optimisation problem associated with this new mode, known as the travelling salesman problem with drone (TSP-D), aims to find the coordinated routes of a drone and a truck to serve a list of customers. In practice, managers sometimes intend to attain a compromise between operational cost and completion time. Therefore, this article addresses a bi-objective TSP-D considering both objectives. An improved non-dominated sorting genetic algorithm (INSGA-II) is proposed to solve the problem. Specifically, the label algorithm-based decoding method, the fast non-dominated sorting approach, the crowding-distance computation procedure, and the local search component are devised to accommodate the features of the problem. Furthermore, the first Pareto front obtained by the INSGA-II is improved by a post-optimisation component. Computational results validate the competitive performance of the proposed algorithm. Meanwhile, the trade-off analysis demonstrates the relationship between operational cost and completion time and provides managerial insights for managers designing reasonable compromise routes.