Evaluating the Performance of a Safe Insulin Supply Chain Using the AHP-TOPSIS Approach

<p dir="ltr">People with type 1 diabetes require insulin, a lifesaving and essential medication, to maintain their blood sugar levels below dangerous levels. Unfortunately, the insulin industry faces supply and affordability issues, and patients and their families face an enormous bu...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Mona Haji (18526764) (author)
مؤلفون آخرون: Laoucine Kerbache (17148370) (author), Tareq Al-Ansari (9872268) (author)
منشور في: 2022
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author Mona Haji (18526764)
author2 Laoucine Kerbache (17148370)
Tareq Al-Ansari (9872268)
author2_role author
author
author_facet Mona Haji (18526764)
Laoucine Kerbache (17148370)
Tareq Al-Ansari (9872268)
author_role author
dc.creator.none.fl_str_mv Mona Haji (18526764)
Laoucine Kerbache (17148370)
Tareq Al-Ansari (9872268)
dc.date.none.fl_str_mv 2022-10-26T09:00:00Z
dc.identifier.none.fl_str_mv 10.3390/pr10112203
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/Evaluating_the_Performance_of_a_Safe_Insulin_Supply_Chain_Using_the_AHP-TOPSIS_Approach/26862475
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Biomedical and clinical sciences
Medical biochemistry and metabolomics
Pharmacology and pharmaceutical sciences
Health sciences
Public health
pharmaceutical supply chain
insulin safety
drug counterfeit
traceability technology
dc.title.none.fl_str_mv Evaluating the Performance of a Safe Insulin Supply Chain Using the AHP-TOPSIS Approach
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">People with type 1 diabetes require insulin, a lifesaving and essential medication, to maintain their blood sugar levels below dangerous levels. Unfortunately, the insulin industry faces supply and affordability issues, and patients and their families face an enormous burden. As a result of high prices and lack of availability, individuals are turning to other options for purchasing insulin, such as online pharmacies, which may or may not be legitimate. Despite the necessity of safe insulin for diabetics in the legitimate Pharmaceutical Supply Chain (PSC), few researchers have considered implementing strategies to maximize patient safety for purchasing insulin. Therefore, the current research seeks to bridge this gap and provide cohesive information on overcoming this challenge and maximizing insulin safety. This study employs a Multi-Criteria Decision-Making (MCDM) model that combines Supply Chain Operations Reference (SCOR) metrics, Analytic Hierarchy Process (AHP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to develop a model that can prioritize and select the best criteria for maximizing insulin safety and achieving the study objective. A comparison of two insulin supply chain scenarios was performed. As a result of this research, adding a traceability technology to the insulin supply chain, specifically blockchain (T42) in scenario 2 provides the best results to the supply chain for maximizing and ensuring the safety of insulin, as compared to scenario 1, where the final score achieved almost 71%. This research provides a useful tool for assessing the safety of other critical goods that customers value in strategic and complex decision-making. Academics, professionals, and decision-makers can benefit from this research using a rigorous scientific decision-support system.</p><h2>Other Information</h2><p dir="ltr">Published in: Processes<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/10.3390/pr10112203" target="_blank">https://dx.doi.org/10.3390/pr10112203</a></p>
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identifier_str_mv 10.3390/pr10112203
network_acronym_str Manara2
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oai_identifier_str oai:figshare.com:article/26862475
publishDate 2022
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spelling Evaluating the Performance of a Safe Insulin Supply Chain Using the AHP-TOPSIS ApproachMona Haji (18526764)Laoucine Kerbache (17148370)Tareq Al-Ansari (9872268)Biomedical and clinical sciencesMedical biochemistry and metabolomicsPharmacology and pharmaceutical sciencesHealth sciencesPublic healthpharmaceutical supply chaininsulin safetydrug counterfeittraceability technology<p dir="ltr">People with type 1 diabetes require insulin, a lifesaving and essential medication, to maintain their blood sugar levels below dangerous levels. Unfortunately, the insulin industry faces supply and affordability issues, and patients and their families face an enormous burden. As a result of high prices and lack of availability, individuals are turning to other options for purchasing insulin, such as online pharmacies, which may or may not be legitimate. Despite the necessity of safe insulin for diabetics in the legitimate Pharmaceutical Supply Chain (PSC), few researchers have considered implementing strategies to maximize patient safety for purchasing insulin. Therefore, the current research seeks to bridge this gap and provide cohesive information on overcoming this challenge and maximizing insulin safety. This study employs a Multi-Criteria Decision-Making (MCDM) model that combines Supply Chain Operations Reference (SCOR) metrics, Analytic Hierarchy Process (AHP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to develop a model that can prioritize and select the best criteria for maximizing insulin safety and achieving the study objective. A comparison of two insulin supply chain scenarios was performed. As a result of this research, adding a traceability technology to the insulin supply chain, specifically blockchain (T42) in scenario 2 provides the best results to the supply chain for maximizing and ensuring the safety of insulin, as compared to scenario 1, where the final score achieved almost 71%. This research provides a useful tool for assessing the safety of other critical goods that customers value in strategic and complex decision-making. Academics, professionals, and decision-makers can benefit from this research using a rigorous scientific decision-support system.</p><h2>Other Information</h2><p dir="ltr">Published in: Processes<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/10.3390/pr10112203" target="_blank">https://dx.doi.org/10.3390/pr10112203</a></p>2022-10-26T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/pr10112203https://figshare.com/articles/journal_contribution/Evaluating_the_Performance_of_a_Safe_Insulin_Supply_Chain_Using_the_AHP-TOPSIS_Approach/26862475CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/268624752022-10-26T09:00:00Z
spellingShingle Evaluating the Performance of a Safe Insulin Supply Chain Using the AHP-TOPSIS Approach
Mona Haji (18526764)
Biomedical and clinical sciences
Medical biochemistry and metabolomics
Pharmacology and pharmaceutical sciences
Health sciences
Public health
pharmaceutical supply chain
insulin safety
drug counterfeit
traceability technology
status_str publishedVersion
title Evaluating the Performance of a Safe Insulin Supply Chain Using the AHP-TOPSIS Approach
title_full Evaluating the Performance of a Safe Insulin Supply Chain Using the AHP-TOPSIS Approach
title_fullStr Evaluating the Performance of a Safe Insulin Supply Chain Using the AHP-TOPSIS Approach
title_full_unstemmed Evaluating the Performance of a Safe Insulin Supply Chain Using the AHP-TOPSIS Approach
title_short Evaluating the Performance of a Safe Insulin Supply Chain Using the AHP-TOPSIS Approach
title_sort Evaluating the Performance of a Safe Insulin Supply Chain Using the AHP-TOPSIS Approach
topic Biomedical and clinical sciences
Medical biochemistry and metabolomics
Pharmacology and pharmaceutical sciences
Health sciences
Public health
pharmaceutical supply chain
insulin safety
drug counterfeit
traceability technology