Optimizing the Hub-and-Spoke Network with Drone-Based Traveling Salesman Problem

نویسندگان

چکیده

The hub-and-spoke network (HSN) design generally assumes direct transportation between a spoke node and its assigned hub, while the spoke’s demand may be far less than truckload. Therefore, total number of trucks on increases unnecessarily. We form drone-based traveling salesman problem (TSP-D) for cluster spokes to hub. A truck starts from visiting each hub in turn finally returning propose three-stage decomposition model solve HSN with TSPD (HSNTSP-D). corresponding algorithm is developed, including cooperation among variable neighborhood search (VNA) heuristics nearest neighbor (NNA), then spoke-to-hub assignment through reassignment strategy (RA) method. performance tested compared standard datasets (CAB, AP, TR). numerical analysis scenarios shows that whether it trunk hub-level or drone spoke-level transportation, integrates resources scale effect, which can reduce transport devices significantly, as well decreasing investment operating costs.

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ژورنال

عنوان ژورنال: Drones

سال: 2022

ISSN: ['2504-446X']

DOI: https://doi.org/10.3390/drones7010006