Abstract
Multimodal transport system on container terminal is a complex stochastic system, so it is difficult to solve accurately by mathematical model. This paper presents a simulation-based optimization method for scheduling optimization of container terminal. First, from the aspect of whole operation process, based on Hybrid Flow Shop Scheduling problem a mathematical model is developed to optimize the operation sequence of quay cranes, yard trailers and yard cranes simultaneously. Second, a simulation optimization method of combining with the GA and simulation for operation scheduling in container terminals is proposed. Finally, case studies show that this method is applicable and effective to the problem of coordinating job sequence optimization.
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© 2011 Springer-Verlag Berlin Heidelberg
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Yu, Q., Zhang, C., Wang, J. (2011). The Research of Simulation and Optimization of Multimodal Transport System Based on Intelligent Materials on Container Terminal Job Scheduling. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_78
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DOI: https://doi.org/10.1007/978-3-642-23777-5_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
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