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dc.contributor.advisorJames B. Rice, Jr.en_US
dc.contributor.authorSiu, Jaspar (Jaspar W.)en_US
dc.contributor.authorStephen, Santoshen_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering Systems Division.en_US
dc.date.accessioned2015-12-03T20:52:32Z
dc.date.available2015-12-03T20:52:32Z
dc.date.copyright2015en_US
dc.date.issued2015en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/100086
dc.descriptionThesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2015.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 90-91).en_US
dc.description.abstractSupply chain resiliency is a relatively new field within supply chain management. Many quantitative and qualitative resiliency frameworks are available. However, there is a need for a hybrid framework that provides a more comprehensive resiliency assessment. In this thesis, we attempt to synthesize important features from different assessment frameworks and develop a hybrid resiliency assessment framework that more comprehensively addresses resiliency assessment. Our proposed framework combines quantitative assessment with a qualitative assessment to create a single Balanced Scorecard of Resiliency (BSR). We deployed the quantitative assessment of the BSR framework in a single commodity supply chain of ABC Company, and were able to compute the expected business impact risk of each node. We also aggregated across multiple nodes to assess the expected business impacts of each of the facilities, suppliers and locations of ABC Company's supply chain, and identify the critical entities in the supply chain for mitigation planning. For the critical facilities, suppliers, and locations, we developed response curves of the expected business impact for key parameters to identify the best mitigation options and the extent of investments. Lastly, we used a supply chain visualization tool called Sourcemap to visualize the expected business impact risk in both a map view and supply network view. Our quantitative assessment of resiliency allowed us to gain insights and generate recommendations for improving ABC Company's supply chain resiliency.en_US
dc.description.statementofresponsibilityby Jaspar Siu and Santosh Stephen.en_US
dc.format.extent91 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectEngineering Systems Division.en_US
dc.titleA supply network resiliency assessment frameworken_US
dc.typeThesisen_US
dc.description.degreeM. Eng. in Logisticsen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering Systems Division
dc.identifier.oclc928947699en_US


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