HighlightsWe provide a risk mitigation model for supply networks under intentional attacks.Disruption recovery time and backup capacity ramp-up are incorporated.A tree search based method is proposed to identify protection decisions.Distributed vs centralized protection strategy depends on initial network design.
AbstractThis 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.
Responsive contingency planning of capacitated supply networks under disruption risks
2017-03-30
25 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Responsive contingency planning of capacitated supply networks under disruption risks
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