Title

An Optimized Drone Fleet Response System

Document Type

Oral Presentation

Campus where you would like to present

Ellensburg

Event Website

https://digitalcommons.cwu.edu/source

Start Date

16-5-2019

End Date

16-5-2019

Abstract

We present an optimized drone fleet disaster response system modeled after the recent hurricane in Puerto Rico. Our model uses the assumptions given by HELP Inc., a non-profit organization, to efficiently deliver supplementary medical supplies to hospitals in effected areas. We give an algorithm for determining optimal drop locations for multiple ISO cargo containers, contained in which are drones and medical supplies. We also give an algorithm for selecting a drone fleet from predefined options and optimal packing configurations for ISO cargo containers. Finally, we apply our model to Puerto Rico detailing efficient drone routes and schedules, and conclude with a sensitivity analysis of our model.

Faculty Mentor(s)

Jean Marie Linhart

Department/Program

Computer Science

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May 16th, 1:00 PM May 16th, 2:00 PM

An Optimized Drone Fleet Response System

Ellensburg

We present an optimized drone fleet disaster response system modeled after the recent hurricane in Puerto Rico. Our model uses the assumptions given by HELP Inc., a non-profit organization, to efficiently deliver supplementary medical supplies to hospitals in effected areas. We give an algorithm for determining optimal drop locations for multiple ISO cargo containers, contained in which are drones and medical supplies. We also give an algorithm for selecting a drone fleet from predefined options and optimal packing configurations for ISO cargo containers. Finally, we apply our model to Puerto Rico detailing efficient drone routes and schedules, and conclude with a sensitivity analysis of our model.

https://digitalcommons.cwu.edu/source/2019/Oralpres/194