Application of Supply Chain Risk Management through visualization and value-at-risk quantification
Author(s)
Xia, Diwei; Lu, Kaiye
DownloadFull printable version (4.206Mb)
Other Contributors
Massachusetts Institute of Technology. Engineering Systems Division.
Advisor
Bruce C. Arntzen.
Terms of use
Metadata
Show full item recordAbstract
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.
Description
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).
Date issued
2014Department
Massachusetts Institute of Technology. Engineering Systems DivisionPublisher
Massachusetts Institute of Technology
Keywords
Engineering Systems Division.