OPTIMIZING UNMANNED AERIAL VEHICLE BASED FOOD DELIVERY THROUGH VEHICLE ROUTING PROBLEM: A COMPARATIVE ANALYSIS OF THREE DELIVERY SYSTEMS.

Rumesh Edirimanne


Department of Transport Management & Logistics Engineering, University of Moratuwa, Sri Lanka (Sri Lanka)

W Madushan Fernando

madushanfernando69@gmail.com
University of Moratuwa (Sri Lanka)

Peter Nielsen


Department of Materials and Production, Aalborg University, 9220 Aalborg, Denmark (Denmark)

H. Niles Perera


Center for Supply Chain, Operations and Logistics Optimization, University of Moratuwa, Sri Lanka (Sri Lanka)

Amila Thibbotuwawa


Center for Supply Chain, Operations and Logistics Optimization, University of Moratuwa, Sri Lanka (Sri Lanka)

Abstract

In recent times, there has been a notable increase in interest surrounding the integration of Un-manned Aerial Vehicle (UAV) technology and vehicle routing problems (VRP) for package delivery purposes. While existing studies have explored various types of package deliveries utilizing VRP, limited attention has been given to on-demand food delivery. This study aims to develop a VRP model that incorporates practical constraints such as payload capacity and maximum flying range, with the primary objective of minimizing travel distance in food delivery operations. A comparative analysis is conducted among three delivery methods, including UAV delivery, to determine the most effective approach and assess the feasibility of each method. Through a case study analysis focused on a pizza delivery service in Sri Lanka, it was observed that implementing VRP in a motorbike delivery system resulted in reduced travel distance, time, cost, and CO2 emissions compared to the existing delivery system. Furthermore, the utilization of UAVs in conjunction with VRP yielded even greater improvements across all parameters. Based on a comprehensive cost analysis considering long-term operations, the UAV-based delivery system was identified as the most cost-effective method, followed by the VRP-incorporated motorbike delivery method. Although the VRP-incorporated motorbike delivery system exhibited a slightly higher average time per route compared to the existing method, the total travel time required to complete all routes remained lower. Consequently, the study concludes that the VRP-incorporated motorbike delivery system outperforms the existing delivery method for food delivery, with the use of UAVs incorporating VRP identified as the optimal delivery method among the three alternatives. The findings contribute valuable insights to the optimization of food delivery logistics, emphasizing the potential of VRP and exploring the feasibility of UAVs for sustainable and efficient long-term delivery solutions.


Keywords:

unmanned aerial vehicle, drone, vehicle routing problem, cost evaluation, food delivery

Abdirad, M., Krishnan, K., & Gupta, D. (n.d.). A THREE-STAGE ALGORITHM FOR THE LARGE SCALE DYNAMIC VEHICLE ROUTING PROBLEM WITH INDUSTRY 4.0 APPROACH Maryam Abdirad 1 , Krishna Krishnan, Deepak Gupta.
  Google Scholar

Benarbia, T., & Kyamakya, K. (2022). A literature review of drone-based package delivery logistics systems and their implementation feasibility. Sustainability (Switzerland), 14(1), 1–15. https://doi.org/10.3390/su14010360
  Google Scholar

Edel, D. (2020). UPS Partners With Wingcopter For Drone Deliveries. Intelligent Living.
  Google Scholar

Fernando, M., Thibbotuwawa, A., Perera, H. N., & Ratnayake, R. M. C. (2022). Close-Open Mixed Vehicle Routing Optimization Model with Multiple Collecting Centers to Collect Farmers’ Perishable Produce. 2022 International Conference for Advancement in Technology, ICONAT 2022, 1–8. https://doi.org/10.1109/ICONAT53423.2022.9725977
  Google Scholar

Fernando, W. M., Thibbotuwawa, A., Perera, H. N., & Chandima Ratnayake, R. M. (2022). Applying a Capacitated Heterogeneous Fleet Vehicle Routing Problem with Multiple Depots Model to Optimize a Retail Chain Distribution Network. IEEE International Conference on Industrial Engineering and Engineering Management, 2022-Decem, 588–592. https://doi.org/10.1109/IEEM55944.2022.9989636
  Google Scholar

Ghelichi, Z., Gentili, M., & Mirchandani, P. B. (2021). Logistics for a fleet of drones for medical item delivery: A case study for Louisville, KY. Computers and Operations Research, 135(June), 105443. https://doi.org/10.1016/j.cor.2021.105443
  Google Scholar

Hwang, J., Kim, H., & Kim, W. (2019). Investigating motivated consumer innovativeness in the context of drone food delivery services. Journal of Hospitality and Tourism Management, 38(January), 102–110. https://doi.org/10.1016/j.jhtm.2019.01.004
  Google Scholar

Karney, C. F. F. (2022). geographiclib.
  Google Scholar

Leather, J. (2009). ADB Sustainable Development Working Paper Series Rethinking Transport and Climate Change. 10, 144.
  Google Scholar

Lee, D. D. (2019, October). Dicing with death to deliver a meal: how South Korea’s appetite for ordering in endangers drivers. This Week in Asia.
  Google Scholar

Li, X., Tupayachi, J., Sharmin, A., & Martinez Ferguson, M. (2023). Drone-Aided Delivery Methods, Challenge, and the Future: A Methodological Review. Drones, 7(3). https://doi.org/10.3390/drones7030191
  Google Scholar

Mathew, A. O., Jha, A. N., Lingappa, A. K., & Sinha, P. (2021). Attitude towards drone food delivery services—role of innovativeness, perceived risk, and green image. Journal of Open Innovation: Technology, Market, and Complexity, 7(2). https://doi.org/10.3390/joitmc7020144
  Google Scholar

Moshref-Javadi, M., & Winkenbach, M. (2021). Applications and Research avenues for drone-based models in logistics: A classification and review. Expert Systems with Applications, 177(March), 114854. https://doi.org/10.1016/j.eswa.2021.114854
  Google Scholar

Pitney Bowes Inc. (2020). Pitney Bowes Parcel Shipping Index Reports Continued Growth as Global Parcel Volume Exceeds 100 billion for First Time Ever.
  Google Scholar

Review, A. L. (2020). applied sciences Unmanned Aerial Vehicle Routing Problems :
  Google Scholar

Sorooshian, S., Khademi Sharifabad, S., Parsaee, M., & Afshari, A. R. (2022). Toward a Modern Last-Mile Delivery: Consequences and Obstacles of Intelligent Technology. Applied System Innovation, 5(4), 1–16. https://doi.org/10.3390/asi5040082
  Google Scholar

Sundar, K., & Rathinam, S. (2014). Algorithms for routing an unmanned aerial vehicle in the presence of refueling depots. IEEE Transactions on Automation Science and Engineering, 11(1), 287–294. https://doi.org/10.1109/TASE.2013.2279544
  Google Scholar

United Nation. (2021). Fact Sheet Climate Change Sustainable Transport Conference. 2–3.
  Google Scholar

Vichova, K., Veselik, P., Heinzova, R., & Dvoracek, R. (2021). Road transport and its impact on air pollution during the COVID-19 pandemic. Sustainability (Switzerland), 13(21). https://doi.org/10.3390/su132111803
  Google Scholar

Yadav, V., & Narasimhamurthy, A. (2018). A heuristics based approach for optimizing delivery schedule of an Unmanned Aerial Vehicle (Drone) based delivery system. 2017 9th International Conference on Advances in Pattern Recognition, ICAPR 2017, 398–403. https://doi.org/10.1109/ICAPR.2017.8593145
  Google Scholar

Zhang, J., & Li, Y. (2023). Collaborative vehicle-drone distribution network optimization for perishable products in the epidemic situation. Computers and Operations Research, 149(July 2022), 106039. https://doi.org/10.1016/j.cor.2022.106039
  Google Scholar

Download


Published
2024-03-30

Cited by

Edirimanne, R., Fernando, W. M., Nielsen, P., Perera, H. N., & Thibbotuwawa, A. (2024). OPTIMIZING UNMANNED AERIAL VEHICLE BASED FOOD DELIVERY THROUGH VEHICLE ROUTING PROBLEM: A COMPARATIVE ANALYSIS OF THREE DELIVERY SYSTEMS. Applied Computer Science, 20(1), 85–105. https://doi.org/10.35784/acs-2024-06

Authors

Rumesh Edirimanne 

Department of Transport Management & Logistics Engineering, University of Moratuwa, Sri Lanka Sri Lanka

Authors

W Madushan Fernando 
madushanfernando69@gmail.com
University of Moratuwa Sri Lanka

Authors

Peter Nielsen 

Department of Materials and Production, Aalborg University, 9220 Aalborg, Denmark Denmark

Authors

H. Niles Perera 

Center for Supply Chain, Operations and Logistics Optimization, University of Moratuwa, Sri Lanka Sri Lanka

Authors

Amila Thibbotuwawa 

Center for Supply Chain, Operations and Logistics Optimization, University of Moratuwa, Sri Lanka Sri Lanka

Statistics

Abstract views: 304
PDF downloads: 188


License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.


Similar Articles

1 2 3 4 5 6 7 8 9 > >> 

You may also start an advanced similarity search for this article.