Abstract
Model that supports drone deployment. Analysis on speed, package weight, energy consumption, # of drones, and battery replacements. This software developed tools for drone deployment optimization for direct delivery by introducing a new model that presents new insights addressing real-life issues. Specifically, this developed a new mixed-integer programming model with both time windows and battery replacements.
- Developers:
-
Roni, Mohammad ; Bhuiyan, Tanveer Hossain [1][2]
- Idaho National Laboratory (INL), Idaho Falls, ID (United States)
- The University of Texas at San Antonio
- Release Date:
- 2022-09-13
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Programming Languages:
-
Python
- Licenses:
-
GNU General Public License v2.0
- Sponsoring Org.:
-
USDOE Office of Energy Efficiency and Renewable Energy (EERE)Primary Award/Contract Number:AC07-05ID14517
- Code ID:
- 93854
- Research Org.:
- The University of Texas at San AntonioIdaho National Laboratory (INL), Idaho Falls, ID (United States)
- Country of Origin:
- United States
- Keywords:
- Mixed-integer program; Drone routing; Drone energy consumption
Citation Formats
Roni, Mohammad S., and Bhuiyan, Tanveer Hossain.
Optimization Models For Drone Deployment.
Computer Software.
https://github.com/IdahoLabResearch/OMDD.
USDOE Office of Energy Efficiency and Renewable Energy (EERE).
13 Sep. 2022.
Web.
doi:10.11578/dc.20220930.3.
Roni, Mohammad S., & Bhuiyan, Tanveer Hossain.
(2022, September 13).
Optimization Models For Drone Deployment.
[Computer software].
https://github.com/IdahoLabResearch/OMDD.
https://doi.org/10.11578/dc.20220930.3.
Roni, Mohammad S., and Bhuiyan, Tanveer Hossain.
"Optimization Models For Drone Deployment." Computer software.
September 13, 2022.
https://github.com/IdahoLabResearch/OMDD.
https://doi.org/10.11578/dc.20220930.3.
@misc{
doecode_93854,
title = {Optimization Models For Drone Deployment},
author = {Roni, Mohammad S. and Bhuiyan, Tanveer Hossain},
abstractNote = {Model that supports drone deployment. Analysis on speed, package weight, energy consumption, # of drones, and battery replacements. This software developed tools for drone deployment optimization for direct delivery by introducing a new model that presents new insights addressing real-life issues. Specifically, this developed a new mixed-integer programming model with both time windows and battery replacements.},
doi = {10.11578/dc.20220930.3},
url = {https://doi.org/10.11578/dc.20220930.3},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20220930.3}},
year = {2022},
month = {sep}
}