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Research on the joint optimization of the scheduling of two automated stacking cranes and the decision-making of flexible buffer blocks in the container yard
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Yanling HUANG1, Zhihua HU1, *, Lianggang ZHANG2, Xiuliang SUN2, Zhilu ZHANG2
Navigation of China | 2026, 49(1) : 89 - 95
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Navigation of China | 2026, 49(1): 89-95
• Port and Waterway Engineering •
Research on the joint optimization of the scheduling of two automated stacking cranes and the decision-making of flexible buffer blocks in the container yard
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Yanling HUANG1, Zhihua HU1, *, Lianggang ZHANG2, Xiuliang SUN2, Zhilu ZHANG2
Affiliations
  • 1.Logistics Research Center, Shanghai Maritime University, Shanghai 201306
  • 2.Qingdao Port International Co., Ltd. Qingdao, 266000
Published: 2026-02-25 doi: 10.3969/j.issn.1000-4653.2026.01.009
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In the automated container terminal yard with a vertical layout, the collaborative scheduling and resource allocation of non-crossing Automated Stacking Cranes (ASC) are crucial for improving operation efficiency. The traditional fixed buffer block strategy is prone to causing path conflicts and resource competition bottlenecks due to the uneven distribution of tasks, resulting in limited operation efficiency. To address this issue, this paper proposes a joint optimization framework for the scheduling of two ASCs and the decision-making of flexible buffer blocks. The aim is to achieve efficient collaboration of yard resources through a dynamic task-block matching mechanism and a safety time interval constraint model. Firstly, a mixed-integer programming model is constructed. With the goal of minimizing the task completion time, it couples the path planning of ASCs, task sequences, and the dynamic allocation of buffer blocks. Secondly, a multi-chromosome encoding genetic algorithm is designed, and the sorting crossover and Gaussian mutation strategies are adopted to enhance the solution efficiency for large-scale instances. Numerical experiments show that compared with the single fixed buffer block strategy, the flexible buffer block mechanism can reduce the average task completion time by 13.9%, verifying the adaptability and accuracy of the dynamic allocation. This study provides theoretical support and decision-making basis for the resource allocation in automated terminal yards.

automated container terminal  /  automated stacking crane  /  flexible buffer bay  /  genetic algorithm
Yanling HUANG, Zhihua HU, Lianggang ZHANG, Xiuliang SUN, Zhilu ZHANG. Research on the joint optimization of the scheduling of two automated stacking cranes and the decision-making of flexible buffer blocks in the container yard[J]. Navigation of China, 2026 , 49 (1) : 89 -95 . DOI: 10.3969/j.issn.1000-4653.2026.01.009
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Year 2026 volume 49 Issue 1
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doi: 10.3969/j.issn.1000-4653.2026.01.009
  • Receive Date：2025-02-08
  • Online Date：2026-05-19
  • Published：2026-02-25
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  • Received：2025-02-08
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    1.Logistics Research Center, Shanghai Maritime University, Shanghai 201306
    2.Qingdao Port International Co., Ltd. Qingdao, 266000
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表12种不同金属材料的力学参数
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Family		 属数
Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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