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Modelling of dual-cycle strategy for container storage and vehicle scheduling problems at automated container terminals

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  • Luo, Jiabin
  • Wu, Yue

Abstract

This study proposes a new approach to determine the dispatching rules of AGVs and container storage locations, considering both unloading and loading processes simultaneously. We formulate this problem as a mixed integer programming model, aiming to minimise the ship’s berth time. Optimal solutions can be obtained in small sizes, however, large-sized problems are hard to solve optimally in a reasonable time. Therefore, a heuristic method, i.e. genetic algorithm is designed to solve the problem in large sizes. A series of numerical experiments are carried out to evaluate the effectiveness of the integration approach and algorithm.

Suggested Citation

  • Luo, Jiabin & Wu, Yue, 2015. "Modelling of dual-cycle strategy for container storage and vehicle scheduling problems at automated container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 49-64.
    • Handle: RePEc:eee:transe:v:79:y:2015:i:c:p:49-64
    DOI: 10.1016/j.tre.2015.03.006
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    14. Zhang, Xiaoju & Zeng, Qingcheng & Yang, Zhongzhen, 2016. "Modeling the mixed storage strategy for quay crane double cycling in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 171-187.
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