Cargando…

IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model

The supply chain management (SCM) of COVID-19 vaccine is the most daunting task for logistics and supply managers due to temperature sensitivity and complex logistics process. Therefore, several technologies have been applied but the complexity of COVID-19 vaccine makes the Internet of Things (IoT)...

Descripción completa

Detalles Bibliográficos
Autores principales: Ali, Yasir, Khan, Habib Ullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579304/
https://www.ncbi.nlm.nih.gov/pubmed/37845382
http://dx.doi.org/10.1038/s41598-023-44966-y
_version_ 1785121696638828544
author Ali, Yasir
Khan, Habib Ullah
author_facet Ali, Yasir
Khan, Habib Ullah
author_sort Ali, Yasir
collection PubMed
description The supply chain management (SCM) of COVID-19 vaccine is the most daunting task for logistics and supply managers due to temperature sensitivity and complex logistics process. Therefore, several technologies have been applied but the complexity of COVID-19 vaccine makes the Internet of Things (IoT) a strong use case due to its multiple features support like excursion notification, data sharing, connectivity management, secure shipping, real-time tracking and monitoring etc. All these features can only feasible through choosing and deploying the right IoT platform. However, selection of right IoT platform is also a major concern due to lack of experience and technical knowledge of supply chain managers and diversified landscape of IoT platforms. Therefore, we introduce a decision making model for evaluation and decision making of IoT platforms that fits for logistics and transportation (L&T) process of COVID-19 vaccine. This study initially identifies the major challenges addressed during the SCM of COVID-19 vaccine and then provides reasonable solution by presenting the assessment model for selection of rational IoT platform. The proposed model applies hybrid Multi Criteria Decision Making (MCDM) approach for evaluation. It also adopts Estimation-Talk-Estimation (ETE) approach for response collection during the survey. As, this is first kind of model so the proposed model is validated and tested by conducting a survey with experts. The results of the proposed decision making model are also verified by Simple Additive Weighting (SAW) technique which indicates higher results accuracy and reliability of the proposed model. Similarly, the proposed model yields the best possible results and it can be judged by the precision, accuracy and recall values i.e. 93%, 93% and 94% respectively. The survey-based testing also suggests that this model can be adopted in practical scenarios to deal with complexities which may arise during the decision making of IoT platform for COVID-19 SCM process.
format Online
Article
Text
id pubmed-10579304
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-105793042023-10-18 IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model Ali, Yasir Khan, Habib Ullah Sci Rep Article The supply chain management (SCM) of COVID-19 vaccine is the most daunting task for logistics and supply managers due to temperature sensitivity and complex logistics process. Therefore, several technologies have been applied but the complexity of COVID-19 vaccine makes the Internet of Things (IoT) a strong use case due to its multiple features support like excursion notification, data sharing, connectivity management, secure shipping, real-time tracking and monitoring etc. All these features can only feasible through choosing and deploying the right IoT platform. However, selection of right IoT platform is also a major concern due to lack of experience and technical knowledge of supply chain managers and diversified landscape of IoT platforms. Therefore, we introduce a decision making model for evaluation and decision making of IoT platforms that fits for logistics and transportation (L&T) process of COVID-19 vaccine. This study initially identifies the major challenges addressed during the SCM of COVID-19 vaccine and then provides reasonable solution by presenting the assessment model for selection of rational IoT platform. The proposed model applies hybrid Multi Criteria Decision Making (MCDM) approach for evaluation. It also adopts Estimation-Talk-Estimation (ETE) approach for response collection during the survey. As, this is first kind of model so the proposed model is validated and tested by conducting a survey with experts. The results of the proposed decision making model are also verified by Simple Additive Weighting (SAW) technique which indicates higher results accuracy and reliability of the proposed model. Similarly, the proposed model yields the best possible results and it can be judged by the precision, accuracy and recall values i.e. 93%, 93% and 94% respectively. The survey-based testing also suggests that this model can be adopted in practical scenarios to deal with complexities which may arise during the decision making of IoT platform for COVID-19 SCM process. Nature Publishing Group UK 2023-10-16 /pmc/articles/PMC10579304/ /pubmed/37845382 http://dx.doi.org/10.1038/s41598-023-44966-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ali, Yasir
Khan, Habib Ullah
IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model
title IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model
title_full IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model
title_fullStr IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model
title_full_unstemmed IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model
title_short IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model
title_sort iot platforms assessment methodology for covid-19 vaccine logistics and transportation: a multi-methods decision making model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579304/
https://www.ncbi.nlm.nih.gov/pubmed/37845382
http://dx.doi.org/10.1038/s41598-023-44966-y
work_keys_str_mv AT aliyasir iotplatformsassessmentmethodologyforcovid19vaccinelogisticsandtransportationamultimethodsdecisionmakingmodel
AT khanhabibullah iotplatformsassessmentmethodologyforcovid19vaccinelogisticsandtransportationamultimethodsdecisionmakingmodel