Optimization of Hybrid Truck-Drone Delivery Systems: A bibliometric analysis

With the continued rise of e-commerce, logistics providers' responsibility for tackling the last-mile delivery (LMD) challenge grows. The LMD is the most polluting, costly, and inefficient component of the e-commerce supply chain. As a result, logistics firms are looking for innovative ways to improve delivery operations. To help reduce LMD challenges, a hybrid truck-drone delivery system (HTDDS) has emerged, combining drones with conventional delivery trucks. This approach has gotten a lot of attention in the literature because of its ability to reduce costs, minimize the environmental impact, and boost customer satisfaction. As a result, the purpose of this research is to conduct a rigorous bibliometric and network analysis of the HTDDS modeling and optimization problems. The research identifies emerging styles in article and journal performance, collaboration patterns, and main research areas.