June 03, 2026
NSF-funded research shows that coordinated truck-drone systems can reduce delivery costs through smarter routing, speed control and cost-aware operations.
At Mizzou 糖心Vlog传媒, we鈥檙e developing solutions to real-world problems. Look no further than the boxes on your doorstep: Behind the growth of online shopping and on鈥慸emand services are millions of gallons of fuel burned through last鈥憁ile delivery, the final step in supply chain logistics that moves goods from a distribution point to a customer鈥檚 doorstep.
A recent study published in the International Journal of Production Research addresses these costs by analyzing delivery systems in which trucks work together with multiple unmanned aerial vehicles (UAVs), commonly known as drones, and shows why small delivery decisions can have large cost effects.
鈥淒rones can provide operational value beyond their role as an emerging technology,鈥 said Sharan Srinivas, a study co-author and principal investigator on the National Science Foundation grant that supported the research. 鈥淲hen they are coordinated effectively with trucks, they can reduce delivery costs in a meaningful way.鈥
Srinivas and his co-authors Jim Noble and Arash Alizadeh examined computational scenarios in which trucks carry drones along with their cargo. At selected stops, the drones launch from the truck, serve nearby customers and return to the truck at a later stop. The researchers found that adding drones to truck delivery can reduce total delivery costs by about 40% in larger delivery networks tested in the study.
Optimizing truck speeds can reduce costs by an additional 7-11% on average. Depending on the relative costs of fuel, energy and labor, the model helps operators identify safe, allowable truck speed choices that balance delivery time, driver labor cost and fuel consumption.
Unlike many earlier studies, the authors鈥 model accounts for truck fuel consumption as a function of speed and load, drone energy use based on payload and hovering time, and driver labor costs that continue while the truck waits for drones. The delivery problem also includes both drop鈥憃ffs and pickups, which reflects real logistics operations more closely than one-way delivery settings.
Importantly, the study does not assume futuristic infrastructure. Drones launch from and return to the truck at designated network nodes, reflecting practical operating constraints and allowing costs such as waiting time and energy use to be measured realistically.
鈥淏etter systems do not always require massive new infrastructure,鈥 Srinivas said. 鈥淭he value of truck-drone delivery depends not only on the technology, but also on operational decisions and local cost conditions.鈥
The study highlights the broader value of industrial engineering, which often lies in improving complex systems through better design and decision-making.
鈥淢izzou researchers are working on problems that are both technically advanced and highly relevant to society,鈥 Srinivas said. 鈥淲e鈥檙e contributing to national and global conversations about the future of supply chains, logistics, transportation and intelligent systems. These are exactly the types of problems industrial engineering is built to solve.鈥
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