IDENTIFYING THE POTENTIAL OF UNMANNED AERIAL VEHICLE ROUTING FOR BLOOD DISTRIBUTION IN EMERGENCY REQUESTS

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DOI

Janani DEWMINI

jananidewmini97@gmail.com

Izabela Iwa NIELSEN

izabela@mp.aau.dk

Grzegorz BOCEWICZ

bocewicz@ie.tu.koszalin.pl

Amila THIBBOTUWAWA

amilat@uom.lk

Zbigniew BANASZAK

Zbigniew.Banaszak@tu.koszalin.pl

Abstract

This study is focusing on identifying the potential of Unmanned Aerial Vehicle (UAV) routing for blood distribution in emergency requests in Sri Lanka compared to existing transportation modes. Capacitated Unmanned Aerial Vehicle Routing Problem was used as the methodology to find the optimal distribution plan between blood banks directing emergency requests. The developed UAV routing model was tested for different instances to compare the results. Finally, the proposed distribution process via UAVs was compared with the current distribution process for the objective function set up in the model and other Key Performance Indicators (KPIs) including energy consumption savings and operational cost savings. The average percentage of distribution time re-duction, energy consumption cost reduction, and operational cost per day reduction utilizing UAVs were determined to be 58.57%, 96.35%, and 61.20%, respectively, for the instances tested using the model highlighting the potential of UAVs. Therefore, the deficiencies in Sri Lanka's present blood delivery system can be addressed using UAVs' potential for time, cost, and energy savings. The ability to save time through the deployment of UAVs to the fleet during emergency situations plays a crucial role in preventing the loss of human lives.

Keywords:

unmanned aerial vehicle, vehicle routing problem, blood distribution, emergency requests

References

Article Details

DEWMINI, J., FERNANDO, W. M., NIELSEN, I. I., BOCEWICZ, G., THIBBOTUWAWA, A., & BANASZAK, Z. (2023). IDENTIFYING THE POTENTIAL OF UNMANNED AERIAL VEHICLE ROUTING FOR BLOOD DISTRIBUTION IN EMERGENCY REQUESTS. Applied Computer Science, 19(4), 68–87. https://doi.org/10.35784/acs-2023-36