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Simulation-Based Optimization for Storage Allocation Problem of Outbound Containers in Automated Container Terminals

Author

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  • Ning Zhao
  • Mengjue Xia
  • Chao Mi
  • Zhicheng Bian
  • Jian Jin

Abstract

Storage allocation of outbound containers is a key factor of the performance of container handling system in automated container terminals. Improper storage plans of outbound containers make QC waiting inevitable; hence, the vessel handling time will be lengthened. A simulation-based optimization method is proposed in this paper for the storage allocation problem of outbound containers in automated container terminals (SAPOBA). A simulation model is built up by Timed-Colored-Petri-Net (TCPN), used to evaluate the QC waiting time of storage plans. Two optimization approaches, based on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are proposed to form the complete simulation-based optimization method. Effectiveness of this method is verified by experiment, as the comparison of the two optimization approaches.

Suggested Citation

  • Ning Zhao & Mengjue Xia & Chao Mi & Zhicheng Bian & Jian Jin, 2015. "Simulation-Based Optimization for Storage Allocation Problem of Outbound Containers in Automated Container Terminals," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-14, October.
    • Handle: RePEc:hin:jnlmpe:548762
    DOI: 10.1155/2015/548762
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    Cited by:

    1. Damla Kizilay & Deniz Türsel Eliiyi, 2021. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 1-42, March.
    2. Feng, Yuanjun & Song, Dong-Ping & Li, Dong, 2022. "Smart stacking for import containers using customer information at automated container terminals," European Journal of Operational Research, Elsevier, vol. 301(2), pages 502-522.

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