An Intelligent Decision Support System for Crane Scheduling in a Container Terminal
نویسنده
چکیده
In this paper, we studied a crane scheduling problem, i.e., the scheduling of RMCs to minimize the total weighted remaining work for the blocks in a terminal storage yard. The approach is a mix of planning method from AI and optimization methods based on MIP formulation. We implemented a DSS to incorporate both AI techniques and OR models. The experiments in simulation environment showed promising scheduling results with the DSS prototype.
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