Responsive contingency planning of capacitated supply networks under disruption risks
This paper prescribes an appropriate risk mitigation model for a capacitated supply chain subject to premeditated attacks on facilities. It presents a unified approach to responsive contingency planning and optimizing protection of supply facilities utilizing a game-theoretic framework of attack and defense which involves multi level optimization. Gradual capacity backups is proposed for the first time in the context of protection under intentional attacks in a capacitated supply system. A recursive tree search algorithm is proposed to solve the tri-level optimization problem. Computational efficiency of the algorithm is demonstrated and managerial insights are presented.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Parajuli, Anubhuti
- Kuzgunkaya, Onur
- Vidyarthi, Navneet
- Publication Date: 2017-6
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 13-37
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Serial:
- Transportation Research Part E: Logistics and Transportation Review
- Volume: 102
- Publisher: Elsevier
- ISSN: 1366-5545
- Serial URL: http://www.sciencedirect.com/science/journal/13665545
Subject/Index Terms
- TRT Terms: Contingency planning; Risk management; Service disruption; Supply chain management
- Subject Areas: Freight Transportation; Planning and Forecasting; Security and Emergencies;
Filing Info
- Accession Number: 01635810
- Record Type: Publication
- Files: TRIS
- Created Date: May 25 2017 2:02PM