{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/146686"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/146686","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Optimizing the Supply Chain Design for Sourcing and Supply of Critical Materials","abstract":"A significant supply disruption occurred in 2019 from a packaging component supply shortage, impacting sites and products globally across the AstraZeneca (AZ) network. Supply to patients continued; however, a team was created to then manage the supply of critical materials. These materials are typically single sourced and used commonly across multiple AZ sites and brands signifying that a disruption could impact patient supply and AZ revenue across multiple brands. This thesis focuses on providing a framework for evaluating risk and vulnerabilities in the sourcing of the critical material supply chain design with a focus on primary packaging. With this methodology, users can identify opportunities for developing a more flexible and resilient supply chain. After analyzing a subset of Stock-Keeping Units (SKUs). and segmenting them based on complexity and criticality, we applied the Time-to-Survive (TTS) and Time-to-Recover (TTR) framework to identify high risk materials and supply nodes. TTR is the time for a supply chain to recover after a disruption at a particular node. TTS is the time the supply chain can continue operations based on demand and inventory levels. A TTS/TTR tool was created to index and sort the high risk materials supplemented by a process for interpreting the outputs and mitigations. After identifying the areas of risk, we also proposed a method for analyzing the trade-off between dual-sourcing versus holding increased inventory by evaluating the potential return on assets (ROA) ratio.","abstract_html":"A significant supply disruption occurred in 2019 from a packaging component supply shortage, impacting sites and products globally across the AstraZeneca (AZ) network. Supply to patients continued; however, a team was created to then manage the supply of critical materials. These materials are typically single sourced and used commonly across multiple AZ sites and brands signifying that a disruption could impact patient supply and AZ revenue across multiple brands. This thesis focuses on providing a framework for evaluating risk and vulnerabilities in the sourcing of the critical material supply chain design with a focus on primary packaging. With this methodology, users can identify opportunities for developing a more flexible and resilient supply chain. After analyzing a subset of Stock-Keeping Units (SKUs). and segmenting them based on complexity and criticality, we applied the Time-to-Survive (TTS) and Time-to-Recover (TTR) framework to identify high risk materials and supply nodes. TTR is the time for a supply chain to recover after a disruption at a particular node. TTS is the time the supply chain can continue operations based on demand and inventory levels. A TTS/TTR tool was created to index and sort the high risk materials supplemented by a process for interpreting the outputs and mitigations. After identifying the areas of risk, we also proposed a method for analyzing the trade-off between dual-sourcing versus holding increased inventory by evaluating the potential return on assets (ROA) ratio.","abstract_has_math":false,"creators":["Feole, Michelle Angela"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Sloan School of Management","school":null,"contributors":[],"advisors":["Simchi-Levi, David","Roemer, Thomas"],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:21:51Z","subjects":[],"languages":[],"rights":["In Copyright - Educational Use Permitted","Copyright retained by author(s)"],"rights_urls":["https://rightsstatements.org/page/InC-EDU/1.0/"],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/1721.1/146686","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Simchi-Levi, David","Roemer, Thomas"]},{"key":"dc:contributor.department","label":"Department","values":["Sloan School of Management","Massachusetts Institute of Technology. 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Supply to patients continued; however, a team was created to then manage the supply of critical materials. These materials are typically single sourced and used commonly across multiple AZ sites and brands signifying that a disruption could impact patient supply and AZ revenue across multiple brands. This thesis focuses on providing a framework for evaluating risk and vulnerabilities in the sourcing of the critical material supply chain design with a focus on primary packaging. With this methodology, users can identify opportunities for developing a more flexible and resilient supply chain. After analyzing a subset of Stock-Keeping Units (SKUs). and segmenting them based on complexity and criticality, we applied the Time-to-Survive (TTS) and Time-to-Recover (TTR) framework to identify high risk materials and supply nodes. TTR is the time for a supply chain to recover after a disruption at a particular node. TTS is the time the supply chain can continue operations based on demand and inventory levels. A TTS/TTR tool was created to index and sort the high risk materials supplemented by a process for interpreting the outputs and mitigations. After identifying the areas of risk, we also proposed a method for analyzing the trade-off between dual-sourcing versus holding increased inventory by evaluating the potential return on assets (ROA) ratio."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.B.A.","S.M."]},{"key":"dc:title","label":"Title","values":["Optimizing the Supply Chain Design for Sourcing and Supply of Critical Materials"]}]}],"canonical_facts":{"dc:contributor.advisor":["Simchi-Levi, David","Roemer, Thomas"],"dc:contributor.department":["Sloan School of Management","Massachusetts Institute of Technology. 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With this methodology, users can identify opportunities for developing a more flexible and resilient supply chain. After analyzing a subset of Stock-Keeping Units (SKUs). and segmenting them based on complexity and criticality, we applied the Time-to-Survive (TTS) and Time-to-Recover (TTR) framework to identify high risk materials and supply nodes. TTR is the time for a supply chain to recover after a disruption at a particular node. TTS is the time the supply chain can continue operations based on demand and inventory levels. A TTS/TTR tool was created to index and sort the high risk materials supplemented by a process for interpreting the outputs and mitigations. 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