Drone-Based Parcel Delivery Using the Rooftops of City Buildings: Model and Solution
Source abstract
Abstract
In general, the demand for delivery cannot be fulfilled efficiently due to the excessive traffic in dense urban areas. Therefore, many innovative concepts for intelligent transportation of freight have recently been developed. One of these concepts relies on drone-based parcel delivery using rooftops of city buildings. To apply drone logistics system in cities, the operation design should be adequately prepared. In this regard, a mixed integer programming model for drone operation planning and a heuristic based on block stacking are newly proposed to provide solutions. Additionally, numerical experiments with three different problem sizes are conducted to check the feasibility of the proposed model and to assess the performance of the proposed heuristic. The experimental results show that the proposed model seems to be viable and that the developed heuristic provides very good operation plans in terms of the optimality gap and the computation time.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Vehicle Routing Optimization Methods · Smart Parking Systems Research · UAV Applications and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Asia Pacific School of Logistics, Inha University, Incheon 22212, Korea
Funding
National Research Foundation of Korea · Inha University
References (35)
Show source-provided references
1. Bryan, V. (2020, May 25). Drone Delivery: DHL “parcelcopter” Flies to German Isle. Available online: https://www.reuters.com/article/us-deutsche-post-drones/drone-delivery-dhl-parcelcopter-flies-to-german-isle-idUSKCN0HJ1ED20140924.
2. Madrigal, A.C. (2020, May 25). Inside Google’s Secret Drone-Delivery Program. Available online: http://www.theatlantic.com/technology/archive/2014/08/inside-googles-secret-drone-delivery-program/379306/.
3. Rose, C. (2020, May 25). Amazon’s Jeff Bezos Looks to the Future. Available online: http://www.cbsnews.com/news/amazons-jeff-bezos-looks-to-the-future.
4. Stern, J. (2020, May 25). Like Amazon, UPS Also Considering Using Unmanned Flying Vehicles. Available online: http://abcnews.go.com/Technology/amazon-ups-drone-delivery-options/story?id=21086160.
5. Murphy, M. (2020, May 25). The Future is Here: Drones are Delivering Domino’s Pizzas to Customers. Available online: https://qz.com/838254/dominos-is-delivering-pizza-with-autonomous-drones-to-customers-in-new-zealand/.
6. Stewart, J. (2020, May 25). A drone-slinging UPS van delivers the Future. Available online: https://www.wired.com/2017/02/drone-slinging-ups-van-delivers-future/.
7. Xinhua (2020, May 25). Chinese E-Commerce Giant Alibaba’s Drones Deliver Packages to Islands. Available online: http://www.xinhuanet.com//english/2017-11/08/c_136735278_3.htm.
8. Lee, H.L., Chen, Y., Gillai, B., Rammohan, S., and Technological Disruption and Innovation in Last-Mile Delivery (2020, May 25). Retrieved from Stanford Graduate School of Business. Available online: https://www.gsb.stanford.edu/faculty-research/publications/technological-disruption-innovation-last-mile-delivery.
9. Lim, J., and Jung, H. (2017, January 3–6). Drone delivery scheduling simulations focusing on charging speed, weight, and battery capacity: Case of remote islands in South Korea. Proceedings of the 2017 Winter Simulation Conference (WSC), Las Vegas, NV, USA.10.1109/WSC.2017.8248199 ↗
10. A selected review on the negative externalities of the freight transportation: Modeling and pricing10.1016/j.tre.2015.02.020 ↗
11. Persistent UAV delivery logistics: MILP formulation and efficient heuristic10.1016/j.cie.2018.05.013 ↗
12. Gevaers, R., Van de Voorde, E., and Vanelslander, T. (2009, January 5–7). Characteristics of innovations in last mile logistics using best practices, case studies and making the link with green and sustainable logistics. Proceedings of the European Transport Conference, Leiden, The Netherlands.
13. Usability of the parcel lockers from the customer perspective–The research in Polish Cities
14. A parcel locker network as a solution to the logistics last mile problem10.1080/00207543.2017.1395490 ↗
15. Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers10.1016/j.tre.2017.06.011 ↗
16. Design and modeling of a crowdsource-enabled system for urban parcel relay and delivery10.1016/j.trb.2016.12.022 ↗
17. Distribution of fresh meat10.1016/S0260-8774(01)00040-1 ↗
18. A vehicle routing problem of both refrigerated and general type vehicles for perishable food products delivery10.1016/j.jfoodeng.2015.08.027 ↗
19. Green vehicle routing in urban zones: A neuro-fuzzy approach10.1016/j.eswa.2013.11.015 ↗
20. Exact algorithms for electric vehicle routing problems with time windows10.1287/opre.2016.1535 ↗
21. Lee, K., Chae, J., and Kim, J. (2019). A courier service with electric bicycles in an Urban Area: The case in Seoul. Sustainability, 11.10.3390/su11051255 ↗
22. Understanding the drone epidemic10.1016/j.clsr.2014.03.002 ↗
23. The flying sidekick traveling salesman problem: Optimization of drone-assisted parcel delivery10.1016/j.trc.2015.03.005 ↗
24. Optimization of a truck-drone in tandem delivery network using k-means and genetic algorithm
25. Vehicle routing problems for drone delivery10.1109/TSMC.2016.2582745 ↗
26. Strategic design for delivery with trucks and drones
27. Agatz, N., Bouman, P., Schmidt, M., and Optimization approaches for the traveling salesman problem with drone (2020, May 25). ERIM Report Series in Management. Available online: http://ssrn.com/abstract=2639672.
28. On the min-cost traveling salesman problem with drone10.1016/j.trc.2017.11.015 ↗
29. Truck-drone hybrid delivery routing: Payload-energy dependency and No-Fly zones10.1016/j.ijpe.2019.01.010 ↗
30. Drone delivery scheduling optimization considering payload-induced battery consumption rates10.1007/s10846-019-01034-w ↗
31. eMarketer (2020, May 25). A Brief Overview of the Global Ecommerce Market. Available online: https://retail.emarketer.com/article/brief-overview-of-global-ecommerce-market/59690010ebd40005284d5cc5.
32. Wang, F., Zhu, Y., Wang, F., Liu, J., Ma, X., and Fan, X. (2019). Car4Pac: Last mile parcel delivery through intelligent car trip sharing. IEEE Trans. Intell. Transp. Syst., 1–15. Early Access.10.1109/TITS.2019.2944134 ↗
33. Castagno, J., Yao, Y., and Atkins, E. (2020, June 09). Realtime Rooftop Landing Site Identification and Selection in City Simulation. Available online: https://arxiv.org/abs/1903.03829.
34. Can drones deliver?10.1109/TASE.2014.2326952 ↗
35. IBM Knowledge Center (2020, June 15). Running out of Memory. Available online: https://www.ibm.com/support/knowledgecenter/en/SSSA5P_12.10.0/ilog.odms.cplex.help/CPLEX/UsrMan/topics/discr_optim/mip/troubleshoot/61_mem_gone.html.