Healthcare Supply Chain Disruption Risks

A Master of Science thesis in Engineering Systems Management by Fatima Wisam Ahmad entitled, “Healthcare Supply Chain Disruption Risks”, submitted in December 2022. Thesis advisor is Dr. Abdulrahim Shamayleh. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archiv...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Ahmad, Fatima Wisam (author)
التنسيق: doctoralThesis
منشور في: 2022
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/11073/25153
الوسوم: إضافة وسم
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author Ahmad, Fatima Wisam
author_facet Ahmad, Fatima Wisam
author_role author
dc.contributor.none.fl_str_mv Shamayleh, Abdulrahim
dc.creator.none.fl_str_mv Ahmad, Fatima Wisam
dc.date.none.fl_str_mv 2022-12
2023-02-27T09:54:18Z
2023-02-27T09:54:18Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2022.42
http://hdl.handle.net/11073/25153
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv Healthcare Supply Chain
Risks
Disruptions
COVID-19
Bayesian Belief Network
dc.title.none.fl_str_mv Healthcare Supply Chain Disruption Risks
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science thesis in Engineering Systems Management by Fatima Wisam Ahmad entitled, “Healthcare Supply Chain Disruption Risks”, submitted in December 2022. Thesis advisor is Dr. Abdulrahim Shamayleh. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
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oai_identifier_str oai:repository.aus.edu:11073/25153
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spelling Healthcare Supply Chain Disruption RisksAhmad, Fatima WisamHealthcare Supply ChainRisksDisruptionsCOVID-19Bayesian Belief NetworkA Master of Science thesis in Engineering Systems Management by Fatima Wisam Ahmad entitled, “Healthcare Supply Chain Disruption Risks”, submitted in December 2022. Thesis advisor is Dr. Abdulrahim Shamayleh. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).The healthcare industry is essential in all countries worldwide; it plays a vital role in the survival and wellbeing of citizens. To receive the best quality of healthcare, healthcare facilities should have efficient strategies for managing the supply chain. Following such strategies will result in reduced costs and improved quality, efficiency, and flexibility. Nevertheless, the recent events of COVID-19 have shown many flaws in the healthcare supply chain risk management strategies. This pandemic has shown that the healthcare supply chain was not prepared for such disruption and that the traditional supply chain risk strategies followed are restrictive in tackling long-term global pandemic disruptions. Thus, this work aims to propose a framework that identifies disruption risks, understands the varied nature of the disruption, its sources, and its significance. Risks are collected from an extensive literature review and semistructured interviews with healthcare supply chain specialists. Then, survey results were analyzed using Bayesian Belief Networks (BBN) to identify interdependency among risks and rank them. This study will provide decision makers an insight into the main risks leading to disruption in the healthcare supply chain field. Moreover, it provides a potential for further exploration by including appropriate mitigation strategies for the proposed framework.College of EngineeringDepartment of Industrial EngineeringMaster of Science in Engineering Systems Management (MSESM)Shamayleh, Abdulrahim2023-02-27T09:54:18Z2023-02-27T09:54:18Z2022-12info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2022.42http://hdl.handle.net/11073/25153en_USoai:repository.aus.edu:11073/251532025-06-26T12:33:03Z
spellingShingle Healthcare Supply Chain Disruption Risks
Ahmad, Fatima Wisam
Healthcare Supply Chain
Risks
Disruptions
COVID-19
Bayesian Belief Network
status_str publishedVersion
title Healthcare Supply Chain Disruption Risks
title_full Healthcare Supply Chain Disruption Risks
title_fullStr Healthcare Supply Chain Disruption Risks
title_full_unstemmed Healthcare Supply Chain Disruption Risks
title_short Healthcare Supply Chain Disruption Risks
title_sort Healthcare Supply Chain Disruption Risks
topic Healthcare Supply Chain
Risks
Disruptions
COVID-19
Bayesian Belief Network
url http://hdl.handle.net/11073/25153