dc.contributor.advisor | Shamayleh, Abdulrahim | |
dc.contributor.author | Ahmad, Fatima Wisam | |
dc.date.accessioned | 2023-02-27T09:54:18Z | |
dc.date.available | 2023-02-27T09:54:18Z | |
dc.date.issued | 2022-12 | |
dc.identifier.other | 35.232-2022.42 | |
dc.identifier.uri | http://hdl.handle.net/11073/25153 | |
dc.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). | en_US |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | College of Engineering | en_US |
dc.description.sponsorship | Department of Industrial Engineering | en_US |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | Master of Science in Engineering Systems Management (MSESM) | en_US |
dc.subject | Healthcare Supply Chain | en_US |
dc.subject | Risks | en_US |
dc.subject | Disruptions | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Bayesian Belief Network | en_US |
dc.title | Healthcare Supply Chain Disruption Risks | en_US |
dc.type | Thesis | en_US |