A Proposal Mathematical Model for the Vaccine COVID-19 Distribution Network: A Case Study in Mexico

Soria-Arguello, Isidro; Torres-Escobar, Rafael; Pérez-Vicente, Hugo Alexer; Perea-Rivera, Tomas Guillermo

doi:10.1155/2021/5484101

Cited by 11 publications

(3 citation statements)

References 13 publications

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“…As presented, the states of DISTRITO FEDERAL -CDMX, BAJA CALIFORNIA SUR, QUERETARO, DURANGO, SONORA and NUEVO LEON have the highest P. Coincidentally, in three of these states the vaccination started in January 2021. Also, in later research, CDMX, QUERETARO and NUEVO LEON were identified as the locations with the highest priority for distribution of COVID-19 vaccines [10].…”

Section: The Allocation Problem For the Airport Connectionsmentioning

confidence: 90%

A Proposed Air-land Distribution Network for Delivery of Emergency Supplies in Mexico

Garcia-Martinez¹,

Reyes-Ortiz²,

Herrera-Cortina³

et al. 2022

JERR

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Within logistics and the COVID-19 pandemic, the distribution of vaccines represented an important challenge as time was vital to attend the needs of the world population. This aspect involved an efficient the distribution chain between vaccine producers and consumers. For this purpose, appropriate transportation infrastructure, analysis of demand rate, inventory planning, and vaccine distribution locations were needed. The present work proposes an air-land distribution network which can be adapted for the delivery of vaccines, or prompt delivery of other emergency resources. This network is aimed to decentralize the international reception of these goods through an alternative of main international airports which can connect to local airports to speed up their delivery. Then a land distribution network is designed to reach the final application centers. The results of the network on a test instance provided insights regarding the challenges and practical implications for a real implementation.

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Section: The Allocation Problem For the Airport Connectionsmentioning

confidence: 90%

A Proposed Air-land Distribution Network for Delivery of Emergency Supplies in Mexico

Garcia-Martinez¹,

Reyes-Ortiz²,

Herrera-Cortina³

et al. 2022

JERR

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“…Sujaree and Samattapapong [20] propose a hybrid algorithm called hybrid artificial chemical reaction optimization algorithm (HACROA), which was used to design a vaccine cold chain network with the objective of minimizing total travel distances. Finally, a mathematical model is proposed by Soria et al [21] for the distribution of different COVID-19 vaccines in Mexico, resulting in an efficient strategy to satisfy demand in each period.…”

Section: Related Workmentioning

confidence: 99%

COVID-19 Vaccines distribution routes with bioinspired metaheuristic algorithms: Resoluteness

Estrada Moreno,

Valdovinos Rosas,

Loza Hernandez

et al. 2024

IEEE Latin Am. Trans.

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The global emergency of COVID-19 caused by the SARS-CoV-2 virus at the end of 2019, it was without a doubt a critical and historical point for society in general; for instance, the effective development of vaccines, as well as the efficient distribution of them; They were an unprecedented challenge to slow down the spread or mitigate its impact on societies around the world. This article specifies three bio-inspired metaheuristic algorithms (genetic algorithm, particle swarm optimization algorithm, and artificial bee colony algorithm) that were used in the context of the capacitated vehicle routing problem to generate vaccine distribution routes, specifically, COVID-19 vaccine for over 18 years old the first and the second doses applications in Mexico, particularly in the State of Mexico. The quality of the solutions obtained by these algorithms is compared, and the performance of the particle swarm optimization (PSO) algorithm being superior in solution quality. The results show that the construction of vaccine distribution routes applying bio-inspired algorithms determines reliable scenarios that support the decisionmaking of the personnel dedicated to carrying out this activity.

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“…A specific item of VSC is the facility location problem. Soria-Arguello et al (2021) focused on the cross-dock warehouse selection in Mexico in order to minimize costs, while Tang et al (2022) realized a bi-objective MILP to choose vaccination point, while considering both the economic and service quality criteria.…”

Section: Literature Reviewmentioning

confidence: 99%

A decision support system for scheduling a vaccination campaign during a pandemic emergency: The COVID-19 case

Fabbri

Ghedini²,

Leonessi³

et al. 2023

Computers & Industrial Engineering

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A Proposal Mathematical Model for the Vaccine COVID-19 Distribution Network: A Case Study in Mexico

Cited by 11 publications

References 13 publications

A Proposed Air-land Distribution Network for Delivery of Emergency Supplies in Mexico

A Proposed Air-land Distribution Network for Delivery of Emergency Supplies in Mexico

COVID-19 Vaccines distribution routes with bioinspired metaheuristic algorithms: Resoluteness

A decision support system for scheduling a vaccination campaign during a pandemic emergency: The COVID-19 case

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