Application of Supply Chain Risk Management through visualization and value-at-risk quantification
Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2014.
| Main Authors: | , |
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
| Published: |
Massachusetts Institute of Technology
2014
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| Online Access: | http://hdl.handle.net/1721.1/92116 |
| _version_ | 1811098189882720256 |
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| author | Xia, Diwei Lu, Kaiye |
| author2 | Bruce C. Arntzen. |
| author_facet | Bruce C. Arntzen. Xia, Diwei Lu, Kaiye |
| author_sort | Xia, Diwei |
| collection | MIT |
| description | Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2014. |
| first_indexed | 2024-09-23T17:11:19Z |
| format | Thesis |
| id | mit-1721.1/92116 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T17:11:19Z |
| publishDate | 2014 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/921162019-04-10T09:12:04Z Application of Supply Chain Risk Management through visualization and value-at-risk quantification Xia, Diwei Lu, Kaiye Bruce C. Arntzen. Massachusetts Institute of Technology. Engineering Systems Division. Massachusetts Institute of Technology. Engineering Systems Division. Engineering Systems Division. Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2014. Cataloged from PDF version of thesis. Includes bibliographical references (pages 46-47). Supply Chain Risk Management ("SCRM") is often discussed in business and academia but is still underdeveloped as a practical tool. Many studies have examined the effects of supply chain disruptions, and many studies have also produced tools for mitigating risk. However, there is still a need for an integrated, practical approach for SCRM that businesses can implement on an enterprise scale. Our thesis attempts to bridge this gap and produce a practical approach for corporations to deploy a SCRM strategy on an enterprise level. Through the use of supply chain visualization and catastrophe modeling software, we have developed a SCRM strategy for a large multi-national chemical company. Our SCRM framework focuses on four key steps: 1) defining the scope of supply chain disruptions; 2) mapping and visualizing the supply chain; 3) evaluating the probability of disruption; and 4) developing a strategy to create an economically resilient supply chain. by Diwei Xia and Kaiye Lu. M. Eng. in Logistics 2014-12-08T18:50:00Z 2014-12-08T18:50:00Z 2014 2014 Thesis http://hdl.handle.net/1721.1/92116 895874887 eng M.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. http://dspace.mit.edu/handle/1721.1/7582 48 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Engineering Systems Division. Xia, Diwei Lu, Kaiye Application of Supply Chain Risk Management through visualization and value-at-risk quantification |
| title | Application of Supply Chain Risk Management through visualization and value-at-risk quantification |
| title_full | Application of Supply Chain Risk Management through visualization and value-at-risk quantification |
| title_fullStr | Application of Supply Chain Risk Management through visualization and value-at-risk quantification |
| title_full_unstemmed | Application of Supply Chain Risk Management through visualization and value-at-risk quantification |
| title_short | Application of Supply Chain Risk Management through visualization and value-at-risk quantification |
| title_sort | application of supply chain risk management through visualization and value at risk quantification |
| topic | Engineering Systems Division. |
| url | http://hdl.handle.net/1721.1/92116 |
| work_keys_str_mv | AT xiadiwei applicationofsupplychainriskmanagementthroughvisualizationandvalueatriskquantification AT lukaiye applicationofsupplychainriskmanagementthroughvisualizationandvalueatriskquantification |