Scenarios and policy aggregation in optimization under uncertainty
Mathematics of Operations Research
Applications of Stochastic Programming (Mps-Siam Series on Optimization) (Mps-Saimseries on Optimization)
Proceedings of the 38th conference on Winter simulation
A two-stage stochastic programming model for transportation network protection
Computers and Operations Research
Resilience Evaluation Approach of Transportation Networks
CSO '09 Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization - Volume 02
Pre-disaster investment decisions for strengthening a highway network
Computers and Operations Research
Optimal Allocation of Protective Resources in Shortest-Path Networks
Transportation Science
Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport
Transportation Science
The integer L-shaped method for stochastic integer programs with complete recourse
Operations Research Letters
Dual decomposition in stochastic integer programming
Operations Research Letters
Evaluating and optimizing resilience of airport pavement networks
Computers and Operations Research
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In assessing a network's potential performance given possible future disruptions, one must recognize the contributions of the network's inherent ability to cope with disruption via its topological and operational attributes and potential actions that can be taken in the immediate aftermath of such an event. Measurement and maximization of network resilience that accounts for both in the context of intermodal freight transport are addressed herein. That is, the problem of measuring a network's maximum resilience level and simultaneously determining the optimal set of preparedness and recovery actions necessary to achieve this level under budget and level-of-service constraints is formulated as a two-stage stochastic program. An exact methodology, employing the integer L-shaped method and Monte Carlo simulation, is proposed for its solution. Optimal allocation of a limited budget between preparedness and recovery activities is explored on an illustrative problem instance involving a network abstraction of a United States rail-based intermodal container network.