Cargando…

Unmanned Aerial Vehicle in the Logistics of Pandemic Vaccination: An Exact Analytical Approach for Any Number of Vaccination Centres

While the development and manufacture of pandemic vaccines is a daunting task, the greatest challenge lies in how to deliver these vaccines to billions of people around the world. This requires an efficient strategy of deliveries, at constrained costs and deadlines. This paper proposes an exact anal...

Descripción completa

Detalles Bibliográficos
Autores principales: Benayad, Adnan, Malasse, Olaf, Belhadaoui, Hicham, Benayad, Noureddine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602990/
https://www.ncbi.nlm.nih.gov/pubmed/36292549
http://dx.doi.org/10.3390/healthcare10102102
_version_ 1784817440766558208
author Benayad, Adnan
Malasse, Olaf
Belhadaoui, Hicham
Benayad, Noureddine
author_facet Benayad, Adnan
Malasse, Olaf
Belhadaoui, Hicham
Benayad, Noureddine
author_sort Benayad, Adnan
collection PubMed
description While the development and manufacture of pandemic vaccines is a daunting task, the greatest challenge lies in how to deliver these vaccines to billions of people around the world. This requires an efficient strategy of deliveries, at constrained costs and deadlines. This paper proposes an exact analytical approach and operational strategy to the logistics of any pandemic vaccination efforts, applicable both to sparsely populated areas or deficient infrastructure, and to very dense urban fabrics where mobility is highly constrained. Our strategy consists in dividing the territory concerned into zones and districts in a concentric way. We opt for the use of unmanned aerial vehicles to free ourselves from land constraints. This involves serving, from a logistics centre (central depot), any number n of vaccination centres, while optimizing costs and deadlines. We have determined all equivalent and optimal flight path plans for a fixed and optimal number of drones, which depend on domain D(d); d being the demand of vaccination centers. The analysis of the results led us to define what we will call the “degeneracy of domain D”. All our results are expressed as a function of the parameter n.
format Online
Article
Text
id pubmed-9602990
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-96029902022-10-27 Unmanned Aerial Vehicle in the Logistics of Pandemic Vaccination: An Exact Analytical Approach for Any Number of Vaccination Centres Benayad, Adnan Malasse, Olaf Belhadaoui, Hicham Benayad, Noureddine Healthcare (Basel) Article While the development and manufacture of pandemic vaccines is a daunting task, the greatest challenge lies in how to deliver these vaccines to billions of people around the world. This requires an efficient strategy of deliveries, at constrained costs and deadlines. This paper proposes an exact analytical approach and operational strategy to the logistics of any pandemic vaccination efforts, applicable both to sparsely populated areas or deficient infrastructure, and to very dense urban fabrics where mobility is highly constrained. Our strategy consists in dividing the territory concerned into zones and districts in a concentric way. We opt for the use of unmanned aerial vehicles to free ourselves from land constraints. This involves serving, from a logistics centre (central depot), any number n of vaccination centres, while optimizing costs and deadlines. We have determined all equivalent and optimal flight path plans for a fixed and optimal number of drones, which depend on domain D(d); d being the demand of vaccination centers. The analysis of the results led us to define what we will call the “degeneracy of domain D”. All our results are expressed as a function of the parameter n. MDPI 2022-10-20 /pmc/articles/PMC9602990/ /pubmed/36292549 http://dx.doi.org/10.3390/healthcare10102102 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Benayad, Adnan
Malasse, Olaf
Belhadaoui, Hicham
Benayad, Noureddine
Unmanned Aerial Vehicle in the Logistics of Pandemic Vaccination: An Exact Analytical Approach for Any Number of Vaccination Centres
title Unmanned Aerial Vehicle in the Logistics of Pandemic Vaccination: An Exact Analytical Approach for Any Number of Vaccination Centres
title_full Unmanned Aerial Vehicle in the Logistics of Pandemic Vaccination: An Exact Analytical Approach for Any Number of Vaccination Centres
title_fullStr Unmanned Aerial Vehicle in the Logistics of Pandemic Vaccination: An Exact Analytical Approach for Any Number of Vaccination Centres
title_full_unstemmed Unmanned Aerial Vehicle in the Logistics of Pandemic Vaccination: An Exact Analytical Approach for Any Number of Vaccination Centres
title_short Unmanned Aerial Vehicle in the Logistics of Pandemic Vaccination: An Exact Analytical Approach for Any Number of Vaccination Centres
title_sort unmanned aerial vehicle in the logistics of pandemic vaccination: an exact analytical approach for any number of vaccination centres
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602990/
https://www.ncbi.nlm.nih.gov/pubmed/36292549
http://dx.doi.org/10.3390/healthcare10102102
work_keys_str_mv AT benayadadnan unmannedaerialvehicleinthelogisticsofpandemicvaccinationanexactanalyticalapproachforanynumberofvaccinationcentres
AT malasseolaf unmannedaerialvehicleinthelogisticsofpandemicvaccinationanexactanalyticalapproachforanynumberofvaccinationcentres
AT belhadaouihicham unmannedaerialvehicleinthelogisticsofpandemicvaccinationanexactanalyticalapproachforanynumberofvaccinationcentres
AT benayadnoureddine unmannedaerialvehicleinthelogisticsofpandemicvaccinationanexactanalyticalapproachforanynumberofvaccinationcentres