Future of Information and Communication Conference (FICC) 2024
4-5 April 2024
Publication Links
IJACSA
Special Issues
Future of Information and Communication Conference (FICC)
Computing Conference
Intelligent Systems Conference (IntelliSys)
Future Technologies Conference (FTC)
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 3, 2020.
Abstract: Non-profit organizations mitigate the problem of food insecurity by collecting surplus food from donors and delivering it to underprivileged people. In this paper, we focus on a single non-profit organization located in Makkah city (Saudi Arabia), referred to as Ekram. The current surplus food pickup/delivery and operational routing model of Ekram orga-nization have several apparent deficiencies. First, we model the surplus pickup/delivery and operational routing model as a vehi-cle routing problem (VRP). Then, we optimize the pickup/delivery of different types of food groups through the different available routes. Finally, we utilize the formulated VRP problem by minimizing the total route distances. Our proposed model ensures reduction of the total time and effort necessary to send the collecting vehicles to the donors of surplus food.
Ahmad Alhindi, Abrar Alsaidi, Waleed Alasmary and Maazen Alsabaan, “Vehicle Routing Optimization for Surplus Food in Nonprofit Organizations” International Journal of Advanced Computer Science and Applications(IJACSA), 11(3), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110384
@article{Alhindi2020,
title = {Vehicle Routing Optimization for Surplus Food in Nonprofit Organizations},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110384},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110384},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {3},
author = {Ahmad Alhindi and Abrar Alsaidi and Waleed Alasmary and Maazen Alsabaan}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.