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001-es BibID:	BIBFORM119670
035-os BibID:	(cikkazonosító)101467 (Scopus)85188548909
Első szerző:	Mzili, Toufik
Cím:	Enhancing COVID-19 vaccination and medication distribution routing strategies in rural regions of Morocco: A comparative metaheuristics analysis / Toufik Mzili, Ilyass Mzili, Mohammed Essaid Riffi, Mohamed Kurdi, Ali Hasan Ali, Dragan Pamucar, Laith Abualigah
Dátum:	2024
ISSN:	2352-9148
Megjegyzések:	The optimization of the vaccination campaign and medication distribution in rural regions of Morocco conducted by the Ministry of Health can be significantly improved by employing metaheuristic algorithms in conjunction with a tour planning system. This research proposes the utilization of six metaheuristic algorithms: genetic algorithm, rat swarm optimization, whale optimization, spotted hyena optimizer, penguins search optimization, and particle swarm optimization, to determine the most efficient routes for equipped trucks carrying vaccines and medications. These algorithms consider critical field constraints, such as operating hours of vaccination centers, vaccine availability, and distances between centers while minimizing the overall journey duration. In addition, a comprehensive tour planning system is integrated into the optimization framework accounting for transportation costs such as fuel expenses and truck maintenance costs. By incorporating these factors, the Ministry of Health aims to achieve the maximum efficiency while minimizing the financial burden associated with the vaccination campaign in rural areas. The integration of metaheuristics and the tour planning system presents a robust and data-driven solution for the Ministry of Health to enhance the effectiveness of their vaccination and medication distribution campaigns in rural regions of Morocco. This approach not only minimizes costs but also improves overall efficiency by ensuring timely access to vaccines and medications for the rural population. The findings of this research contribute to the growing body of knowledge in the field of healthcare logistics optimization and provide valuable insights for policymakers and practitioners involved in similar campaigns worldwide.
Tárgyszavak:	Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Metaheuristics Tour planning system Vaccination campaign Healthcare logistics Transportation Route optimization Medication distribution
Megjelenés:	Informatics in Medicine Unlocked. - 46 (2024), p.1-13. -
További szerzők:	Mzili, Ilyass Riffi, Mohammed Essaid Kurdi, Mohamed Ali, Ali Hasan (1989-) (matematikus) Pamucar, Dragan Abualigah, Laith
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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