Optimization of Protections against Supply Chain Risks Due to Intentional Acts
The authors develop a network interdiction based model LRVD to quantitatively solve a supply chain risk management problem. Specifically, they considered the supply chain system as a directed graph and defined different functional components in the system as nodes and arcs, and developed a tri-level program to identify the optimal arcs to protect, given that the system is vulnerable to intentional attacks from competitors and dissatisfied labors. The authors propose a mixed-integer linear programming (MIP) formulation LRVD to solve the problem. A numerical example is demonstrated illustrating that the proposed model is able to provide the optimal protective strategies for decision makers.
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Availability:
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Supplemental Notes:
- Abstract reprinted with permission of IEEE.
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Corporate Authors:
Institute of Electrical and Electronics Engineers (IEEE)
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New York, NY United States 10016-5997 -
Authors:
- Zhou, Chunhui
- Poh, Kim-Leng
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Conference:
- 17th International IEEE Conference on Intelligent Transportation Systems (ITSC14)
- Location: Qingdao , China
- Date: 2014-10-8 to 2014-10-11
- Publication Date: 2014-10
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 232-237
- Monograph Title: 17th International IEEE Conference on Intelligent Transportation Systems (ITSC14)
Subject/Index Terms
- TRT Terms: Hazard evaluation; Hazards; Linear programming; Mathematical methods; Risk management; Supply chain management; Transportation operations
- Subject Areas: Operations and Traffic Management; Transportation (General); I10: Economics and Administration; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01561893
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 28 2015 8:38AM