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Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application
Institution:1. The School of Industrial and Systems Engineering, The University of Oklahoma, 202 W. Boyd St., Norman, OK 73019-1022;2. Department of Management, Kingston Business School, Kingston University, UK\n;3. Rotterdam School of Management, Erasmus University Rotterdam, Rotterdam, The Netherlands
Abstract:In this paper, we present a two-stage mixed integer programming (MIP) interdiction model in which an interdictor chooses a limited amount of elements to attack first on a given network, and then an operator dispatches trains through the residual network. Our MIP model explicitly incorporates discrete unit flows of trains on the rail network with time-variant capacities. A real coal rail transportation network is used in order to generate scenarios to provide tactical and operational level vulnerability assessment analysis including rerouting decisions, travel and delay costs analysis, and the frequency of interdictions of facilities for the dynamic rail system.
Keywords:Network interdiction  Rail transportation  Bi-level optimization  Supply chain optimization
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