Crane Scheduling with Spatial Constraints: Mathematical Models and Solving Approaches
نویسندگان
چکیده
In this paper, we examine crane scheduling for ports. This important component of port operations management is studied when the non-crossing spatial constraint, which is common to crane operations, are considered. Our objective is to minimize the latest completion time for all jobs, which is a widely used criteria in practice. We provide the proof that this problem is NP-complete and design a branch-and-bound algorithm to obtain optimal solutions. A simulated annealing meta-heuristic with effective neighborhood search is designed to find good solutions in larger size instances. The elaborate experimental results show that the branch-and-bound algorithm runs much faster than CPLEX and the simulated annealing approach can obtain near optimal solutions for instances of various sizes.
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