Disruption Management on Shunting Yards with Tabu Search and Simulated Annealing
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Trains are cleaned and inspected regularly to keep passengers happy, and costs low by preventing accidents. These services are done within a shunting yard based on a schedule created by the Dutch Railways. In practice, the execution of a schedule often deviates because a train arrives too late, or arrives with carriages in an unexpected order. If these disruptions break the schedule in any way, it will have to be corrected manually. We propose a local search technique to aid the adjustment of the schedule, while also aiming for the resulting schedule to be similar to the original. We introduce a score for similarity based on comparing the machinist schedules.