Hybrid simulation-optimization approach for planning relief-aid distribution
- Author
- Mohanad Rezeq (UGent) , Tarik Aouam (UGent) and Frederik Gailly (UGent)
- Organization
- Abstract
- During times of armed conflict, a number of security check-points are set up by authorities to regulate the movement of commercial and relief trucks into and out of the war region. These security check-points have become highly utilized, because of complex security procedures and increased truck traffic, which heavily slows down the delivery of relief aid. Our research aims to improve the process at the security check-points by redesigning the current process to reduce processing times and relieve congestion at check-point entrance gates. These efforts are then integrated with the proposed decision-support tool (the Clearing Function Distribution Model, CFDM) to minimize the effects of security check-point congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. Employing business process simulation, the current and re-engineered processes are both simulated, and the simulation output is used to estimate the clearing function (capacity as a function of the workload). Our efforts will contribute to improving the planning of the humanitarian network experiencing congestion at security check-points by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination. For this, the Kerem Abu Salem security check-point in the south of GAZA is used as a case study. The results show that the CFDM tool works better when the Re-engineered-Clearing function's output is applied.
- Keywords
- Security checkpoints, Relief-aid distribution planning, Clearing function, Congestion, Business process simulation, Business process re-engineering
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HY37Y1T3D5TW2ZB4PRC4JAVK
- MLA
- Rezeq, Mohanad, et al. “Hybrid Simulation-Optimization Approach for Planning Relief-Aid Distribution.” EURO 2024 Conference Handbook & Abstracts : 33rd European Conference on Operational Research (EURO XXXIII), Copenhagen, Denmark, June 30 - July 3, 2024, 2024, pp. 334–334.
- APA
- Rezeq, M., Aouam, T., & Gailly, F. (2024). Hybrid simulation-optimization approach for planning relief-aid distribution. EURO 2024 Conference Handbook & Abstracts : 33rd European Conference on Operational Research (EURO XXXIII), Copenhagen, Denmark, June 30 - July 3, 2024, 334–334.
- Chicago author-date
- Rezeq, Mohanad, Tarik Aouam, and Frederik Gailly. 2024. “Hybrid Simulation-Optimization Approach for Planning Relief-Aid Distribution.” In EURO 2024 Conference Handbook & Abstracts : 33rd European Conference on Operational Research (EURO XXXIII), Copenhagen, Denmark, June 30 - July 3, 2024, 334–334.
- Chicago author-date (all authors)
- Rezeq, Mohanad, Tarik Aouam, and Frederik Gailly. 2024. “Hybrid Simulation-Optimization Approach for Planning Relief-Aid Distribution.” In EURO 2024 Conference Handbook & Abstracts : 33rd European Conference on Operational Research (EURO XXXIII), Copenhagen, Denmark, June 30 - July 3, 2024, 334–334.
- Vancouver
- 1.Rezeq M, Aouam T, Gailly F. Hybrid simulation-optimization approach for planning relief-aid distribution. In: EURO 2024 Conference Handbook & Abstracts : 33rd European Conference on Operational Research (EURO XXXIII), Copenhagen, Denmark, June 30 - July 3, 2024. 2024. p. 334–334.
- IEEE
- [1]M. Rezeq, T. Aouam, and F. Gailly, “Hybrid simulation-optimization approach for planning relief-aid distribution,” in EURO 2024 Conference Handbook & Abstracts : 33rd European Conference on Operational Research (EURO XXXIII), Copenhagen, Denmark, June 30 - July 3, 2024, Copenhagen, Denmark, 2024, pp. 334–334.
@inproceedings{01HY37Y1T3D5TW2ZB4PRC4JAVK,
abstract = {{During times of armed conflict, a number of security check-points are set up by authorities to regulate the movement of commercial and relief trucks into and out of the war region. These security check-points have become highly utilized, because of complex security procedures and increased truck traffic, which heavily slows down the delivery of relief aid. Our research aims to improve the process at the security check-points by redesigning the current process to reduce processing times and relieve congestion at check-point entrance gates. These efforts are then integrated with the proposed decision-support tool (the Clearing Function Distribution Model, CFDM) to minimize the effects of security check-point congestion on the entire humanitarian supply network using a hybrid simulation-optimization approach. Employing business process simulation, the current and re-engineered processes are both simulated, and the simulation output is used to estimate the clearing function (capacity as a function of the workload). Our efforts will contribute to improving the planning of the humanitarian network experiencing congestion at security check-points by minimizing the impact of congestion on the delivery lead time of relief aid to the final destination. For this, the Kerem Abu Salem security check-point in the south of GAZA is used as a case study. The results show that the CFDM tool works better when the Re-engineered-Clearing function's output is applied.}},
author = {{Rezeq, Mohanad and Aouam, Tarik and Gailly, Frederik}},
booktitle = {{EURO 2024 Conference Handbook & Abstracts : 33rd European Conference on Operational Research (EURO XXXIII), Copenhagen, Denmark, June 30 - July 3, 2024}},
isbn = {{9788793458260}},
keywords = {{Security checkpoints,Relief-aid distribution planning,Clearing function,Congestion,Business process simulation,Business process re-engineering}},
language = {{eng}},
location = {{Copenhagen, Denmark}},
pages = {{334--334}},
title = {{Hybrid simulation-optimization approach for planning relief-aid distribution}},
year = {{2024}},
}