Back to results

Massachusetts Institute of Technology

Application of Supply Chain Risk Management through visualization and value-at-risk quantification

Abstract

dc:description.abstract

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.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Engineering Systems Division.
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Authors dc:creator
  • Xia, Diwei
  • Lu, Kaiye
Advisor dc:contributor.advisor
  • Bruce C. Arntzen.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/92116
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/92116

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Xia, Diwei; Lu, Kaiye. Application of Supply Chain Risk Management through visualization and value-at-risk quantification. Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92116