Abstract
We deal with robust yard crane scheduling inside a storage block of a container terminal. We consider scenarios with high utilization rates of the cranes, where uncertainties regarding the arrival of transport vehicles at the sea and landside lead to uncertain schedules for the yard cranes. If uncertainties are not incorporated in the scheduling process, the resulting plans can quickly become suboptimal, leading to extended overall completion times that result in delays and can incur penalty costs as a consequence. We present a multistage robust optimization model that allows us to minimize the worst-case objective value by taking into account the uncertain arrival times. Furthermore, we compare our approach with a deterministic model.
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Marx, T., Hartisch, M. (2022). Robust Multistage Yard Crane Scheduling in Container Terminals. In: Trautmann, N., Gnägi, M. (eds) Operations Research Proceedings 2021. OR 2021. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-08623-6_40
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DOI: https://doi.org/10.1007/978-3-031-08623-6_40
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