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Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines

BACKGROUND: The evolutionary stages of manufacturing have led us to conceptualize the use of Industry 4.0 for COVID-19 (coronavirus disease 2019), powered by Industry 4.0 technologies. Using applications of integrated process optimizations reliant on digitized data, we propose novel intelligent netw...

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Autores principales: Sarfraz, Azza, Sarfraz, Zouina, Sarfraz, Muzna, Abdul Razzack, Aminah, Bano, Shehar, Singh Makkar, Sarabjot, Thevuthasan, Sindhu, Paul, Trissa, Khawar Sana, Muhammad, Azeem, Nishwa, Felix, Miguel, Cherrez-Ojeda, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753236/
https://www.ncbi.nlm.nih.gov/pubmed/34984932
http://dx.doi.org/10.1177/21501319211068638
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author Sarfraz, Azza
Sarfraz, Zouina
Sarfraz, Muzna
Abdul Razzack, Aminah
Bano, Shehar
Singh Makkar, Sarabjot
Thevuthasan, Sindhu
Paul, Trissa
Khawar Sana, Muhammad
Azeem, Nishwa
Felix, Miguel
Cherrez-Ojeda, Ivan
author_facet Sarfraz, Azza
Sarfraz, Zouina
Sarfraz, Muzna
Abdul Razzack, Aminah
Bano, Shehar
Singh Makkar, Sarabjot
Thevuthasan, Sindhu
Paul, Trissa
Khawar Sana, Muhammad
Azeem, Nishwa
Felix, Miguel
Cherrez-Ojeda, Ivan
author_sort Sarfraz, Azza
collection PubMed
description BACKGROUND: The evolutionary stages of manufacturing have led us to conceptualize the use of Industry 4.0 for COVID-19 (coronavirus disease 2019), powered by Industry 4.0 technologies. Using applications of integrated process optimizations reliant on digitized data, we propose novel intelligent networks along the vaccine value chain. Vaccine 4.0 may enable maintenance processes, streamline logistics, and enable optimal production of COVID-19 vaccines. VACCINE 4.0 FRAMEWORK: The challenge in applying Vaccine 4.0 includes the requirement of large-scale technologies for digitally transforming manufacturing, producing, rolling-out, and distributing vaccines. With our framework, Vaccine 4.0 analytics will target process performance, process development, process stability, compliance, quality assessment, and optimized maintenance. The benefits of digitization during and post the COVID-19 pandemic include first, the continual assurance of process control, and second, the efficacy of big-data analytics in streamlining set parameter limits. Digitization including big data-analytics may potentially improve the quality of large-scale vaccine production, profitability, and manufacturing processes. The path to Vaccine 4.0 will enhance vaccine quality, improve efficacy, and compliance with data-regulated requirements. DISCUSSION: Fiscal and logistical barriers are prevalent across resource-limited countries worldwide. The Vaccine 4.0 framework accounts for expected barriers of manufacturing and equitably distributing COVID-19 vaccines. With amalgamating big data analytics and biometrics, we enable the identification of vulnerable populations who are at higher risk of disease transmission. Artificial intelligence powered sensors and robotics support thermostable vaccine distribution in limited capacity regions, globally. Biosensors isolate COVID-19 vaccinations with low or limited efficacy. Finally, Vaccine 4.0 blockchain systems address low- and middle-income countries with limited distribution capacities. CONCLUSION: Vaccine 4.0 is a viable framework to optimize manufacturing of vaccines during and post the COVID-19 pandemic.
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spelling pubmed-87532362022-01-13 Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines Sarfraz, Azza Sarfraz, Zouina Sarfraz, Muzna Abdul Razzack, Aminah Bano, Shehar Singh Makkar, Sarabjot Thevuthasan, Sindhu Paul, Trissa Khawar Sana, Muhammad Azeem, Nishwa Felix, Miguel Cherrez-Ojeda, Ivan J Prim Care Community Health Commentaries BACKGROUND: The evolutionary stages of manufacturing have led us to conceptualize the use of Industry 4.0 for COVID-19 (coronavirus disease 2019), powered by Industry 4.0 technologies. Using applications of integrated process optimizations reliant on digitized data, we propose novel intelligent networks along the vaccine value chain. Vaccine 4.0 may enable maintenance processes, streamline logistics, and enable optimal production of COVID-19 vaccines. VACCINE 4.0 FRAMEWORK: The challenge in applying Vaccine 4.0 includes the requirement of large-scale technologies for digitally transforming manufacturing, producing, rolling-out, and distributing vaccines. With our framework, Vaccine 4.0 analytics will target process performance, process development, process stability, compliance, quality assessment, and optimized maintenance. The benefits of digitization during and post the COVID-19 pandemic include first, the continual assurance of process control, and second, the efficacy of big-data analytics in streamlining set parameter limits. Digitization including big data-analytics may potentially improve the quality of large-scale vaccine production, profitability, and manufacturing processes. The path to Vaccine 4.0 will enhance vaccine quality, improve efficacy, and compliance with data-regulated requirements. DISCUSSION: Fiscal and logistical barriers are prevalent across resource-limited countries worldwide. The Vaccine 4.0 framework accounts for expected barriers of manufacturing and equitably distributing COVID-19 vaccines. With amalgamating big data analytics and biometrics, we enable the identification of vulnerable populations who are at higher risk of disease transmission. Artificial intelligence powered sensors and robotics support thermostable vaccine distribution in limited capacity regions, globally. Biosensors isolate COVID-19 vaccinations with low or limited efficacy. Finally, Vaccine 4.0 blockchain systems address low- and middle-income countries with limited distribution capacities. CONCLUSION: Vaccine 4.0 is a viable framework to optimize manufacturing of vaccines during and post the COVID-19 pandemic. SAGE Publications 2022-01-05 /pmc/articles/PMC8753236/ /pubmed/34984932 http://dx.doi.org/10.1177/21501319211068638 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Commentaries
Sarfraz, Azza
Sarfraz, Zouina
Sarfraz, Muzna
Abdul Razzack, Aminah
Bano, Shehar
Singh Makkar, Sarabjot
Thevuthasan, Sindhu
Paul, Trissa
Khawar Sana, Muhammad
Azeem, Nishwa
Felix, Miguel
Cherrez-Ojeda, Ivan
Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines
title Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines
title_full Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines
title_fullStr Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines
title_full_unstemmed Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines
title_short Industry 4.0 Technologies for the Manufacturing and Distribution of COVID-19 Vaccines
title_sort industry 4.0 technologies for the manufacturing and distribution of covid-19 vaccines
topic Commentaries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753236/
https://www.ncbi.nlm.nih.gov/pubmed/34984932
http://dx.doi.org/10.1177/21501319211068638
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