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.

• Record URL:
  https://doi.org/10.1016/j.tre.2017.03.010
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S1366554516306950
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
• Supplemental Notes:
  • Abstract reprinted with permission of Elsevier.
• 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
• 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