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Responsive contingency planning of capacitated supply networks under disruption risks

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  • Parajuli, Anubhuti
  • Kuzgunkaya, Onur
  • Vidyarthi, Navneet

Abstract

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.

Suggested Citation

  • Parajuli, Anubhuti & Kuzgunkaya, Onur & Vidyarthi, Navneet, 2017. "Responsive contingency planning of capacitated supply networks under disruption risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 102(C), pages 13-37.
    • Handle: RePEc:eee:transe:v:102:y:2017:i:c:p:13-37
    DOI: 10.1016/j.tre.2017.03.010
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    Cited by:

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    5. Li, Qing & Li, Mingchu & Zhang, Runfa & Gan, Jianyuan, 2021. "A stochastic bilevel model for facility location-protection problem with the most likely interdiction strategy," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    6. Goldbeck, Nils & Angeloudis, Panagiotis & Ochieng, Washington, 2020. "Optimal supply chain resilience with consideration of failure propagation and repair logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).

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