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Research Article | Open Access |

Vehicle Routing Optimization for Surplus Food in Nonprofit Organizations

Author 1: Ahmad Alhindi Author 2: Abrar Alsaidi Author 3: Waleed Alasmary Author 4: Maazen Alsabaan
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 3 · Published 2020 · Cited by 5

DOI: https://doi.org/10.14569/IJACSA.2020.0110384

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.

Keywords

How to Cite this Article

Alhindi, A., Alsaidi, A., Alasmary, W., & Alsabaan, M. (2020). Vehicle Routing Optimization for Surplus Food in Nonprofit Organizations. International Journal of Advanced Computer Science and Applications, 11(3). https://doi.org/10.14569/IJACSA.2020.0110384

Alhindi, Ahmad, et al.. "Vehicle Routing Optimization for Surplus Food in Nonprofit Organizations." International Journal of Advanced Computer Science and Applications, vol. 11, no. 3, 2020, https://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},
  volume    = {11},
  number    = {3},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Ahmad Alhindi and Abrar Alsaidi and Waleed Alasmary and Maazen Alsabaan},
  doi       = {10.14569/IJACSA.2020.0110384},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110384}
}

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