IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model
<p dir="ltr">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...
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2023
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| _version_ | 1864513518518140928 |
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| author | Yasir Ali (799969) |
| author2 | Habib Ullah Khan (12024579) |
| author2_role | author |
| author_facet | Yasir Ali (799969) Habib Ullah Khan (12024579) |
| author_role | author |
| dc.creator.none.fl_str_mv | Yasir Ali (799969) Habib Ullah Khan (12024579) |
| dc.date.none.fl_str_mv | 2023-10-16T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1038/s41598-023-44966-y |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/IoT_platforms_assessment_methodology_for_COVID-19_vaccine_logistics_and_transportation_a_multi-methods_decision_making_model/29445941 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Health sciences Health services and systems Public health Information and computing sciences Distributed computing and systems software Supply Chain Management (SCM) COVID-19 vaccine logistics Temperature-sensitive supply chains Internet of Things (IoT) Data sharing and connectivity |
| dc.title.none.fl_str_mv | IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Scientific Reports<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1038/s41598-023-44966-y" target="_blank">https://dx.doi.org/10.1038/s41598-023-44966-y</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_6e2da219f12a26bf2f6aa60535d11335 |
| identifier_str_mv | 10.1038/s41598-023-44966-y |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29445941 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making modelYasir Ali (799969)Habib Ullah Khan (12024579)Health sciencesHealth services and systemsPublic healthInformation and computing sciencesDistributed computing and systems softwareSupply Chain Management (SCM)COVID-19 vaccine logisticsTemperature-sensitive supply chainsInternet of Things (IoT)Data sharing and connectivity<p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: Scientific Reports<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1038/s41598-023-44966-y" target="_blank">https://dx.doi.org/10.1038/s41598-023-44966-y</a></p>2023-10-16T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1038/s41598-023-44966-yhttps://figshare.com/articles/journal_contribution/IoT_platforms_assessment_methodology_for_COVID-19_vaccine_logistics_and_transportation_a_multi-methods_decision_making_model/29445941CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/294459412023-10-16T09:00:00Z |
| spellingShingle | IoT platforms assessment methodology for COVID-19 vaccine logistics and transportation: a multi-methods decision making model Yasir Ali (799969) Health sciences Health services and systems Public health Information and computing sciences Distributed computing and systems software Supply Chain Management (SCM) COVID-19 vaccine logistics Temperature-sensitive supply chains Internet of Things (IoT) Data sharing and connectivity |
| status_str | publishedVersion |
| 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 | Health sciences Health services and systems Public health Information and computing sciences Distributed computing and systems software Supply Chain Management (SCM) COVID-19 vaccine logistics Temperature-sensitive supply chains Internet of Things (IoT) Data sharing and connectivity |