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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Lifting the Efficiency of Food Delivery with Drone Resupply

Yinding Zhang (12792155) 29 April 2023 (has links)
<p>How the world eats is changing dramatically. Nowadays, food delivery, where freshly prepared food is delivered from restaurants to customers' residences or workplaces, has become a huge and rapidly growing market. Yet, the escalating expense of food delivery personnel and the guarantee of fast and punctual delivery are big challenges faced by food delivery platforms. To address this issue, our research proposes drone resupply delivery in food delivery, where drones and human couriers collaborate to facilitate the delivery process. Specifically, drones are responsible for resupplying orders from restaurants to couriers, who then complete the final leg of the delivery to customers. The drone resupply delivery model is particularly well-suited for the food delivery industry, as it overcomes the limitations of drone accessibility to customer locations and adheres to the existing ground-based operational system as much as possible. We have developed a mathematical model and a large neighborhood search heuristic to support this approach. Our numerical experiment, based on real-world order data, has demonstrated that the delivery delay and overall efficiency of food delivery are significantly improved through the utilization of drone resupply, compared to traditional ground-only delivery. Moreover, this improvement is achieved with only a small number of drones integrated into the system. </p>
2

Lifting the Efficiency of Food Delivery with Drone Resupply

Yinding Zhang (12792155) 27 April 2023 (has links)
<p>How the world eats is changing dramatically. Nowadays, food delivery, where freshly  prepared food is delivered from restaurants to customers' residences or workplaces, has become a  huge and rapidly growing market. Yet, the escalating expense of food delivery personnel and the  guarantee of fast and punctual delivery are big challenges faced by food delivery platforms. To  address this issue, our research proposes drone resupply delivery in food delivery, where drones  and human couriers collaborate to facilitate the delivery process. Specifically, drones are  responsible for resupplying orders from restaurants to couriers, who then complete the final leg of  the delivery to customers. The drone resupply delivery model is particularly well-suited for the  food delivery industry, as it overcomes the limitations of drone accessibility to customer locations  and adheres to the existing ground-based operational system as much as possible. We have  developed a mathematical model and a large neighborhood search heuristic to support this  approach. Our numerical experiment, based on real-world order data, has demonstrated that the  delivery delay and overall efficiency of food delivery are significantly improved through the  utilization of drone resupply, compared to traditional ground-only delivery. Moreover, this  improvement is achieved with only a small number of drones integrated into the system.</p>

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