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Crane Scheduling with Spatial Constraints
Andrew Lim, Brian Rodrigues, Fei Xiao, and Yi Zhu
Abstract
In this work, we examine port crane scheduling with spatial and separation constraints. mon to most port operations, these constraints have not been previously studied. We assume that cranes cannot cross, there is a minimum distance between cranes and jobs cannot be done simultaneously. The objective is to find a crane-to-job matching which maximizes throughput under these constraints. We provide dynamic programming algorithms, a probabilistic tabu search and a squeaky wheel optimization heuristic for solution. Experiment show the heuristics perform pared with optimal solutions obtained by CPLEX for small scale instances where a squeaky wheel optimization with local search approach gives good results within short times.
Introduction
The Port of Singapore Authority(PSA) is a large port operator located in Singapore, one of the busiest ports in the world. PSA handles million TEU’s annually or nine percent of global container traffic in Singapore, the world’s largest transshipment hub. PSA is concerned with maximizing throughput at its port
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