Optimizing Container Ship Stowage Planning with Yard Clash Considerations: Enhancing Yard and Quay Crane Coordination

Container ship stowage planning is a critical task that impacts the operational efficiency of both shipping companies and container terminals. This study addresses the often-overlooked issue of yard clashes, which are caused by the performance disparity between yard and quay cranes, hindering contai...

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Bibliographic Details
Published in2025 5th International Conference on Consumer Electronics and Computer Engineering (ICCECE) pp. 461 - 470
Main Authors Jin, Bo, Tong, Tian
Format Conference Proceeding
LanguageEnglish
Published IEEE 28.02.2025
Subjects
Computational modeling
Container ship stowage planning
Container terminal operations
Containers
Cranes
Genetic algorithm
Genetic algorithms
Integer programming
Logistics
Marine vehicles
Maritime logistics
Numerical models
Planning
Transportation
Yard clash
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DOI10.1109/ICCECE65250.2025.10985221

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Summary:Container ship stowage planning is a critical task that impacts the operational efficiency of both shipping companies and container terminals. This study addresses the often-overlooked issue of yard clashes, which are caused by the performance disparity between yard and quay cranes, hindering container retrieval and loading efficiency. We present the yard clash-aware stowage planning problem that integrates stowage planning and crane scheduling to minimize idle times of quay cranes. A mixed integer programming model, a just-in-time heuristic, and a genetic algorithm are developed to solve this complex problem. Numerical experiments demonstrate that while the mixed integer programming model struggles with large-scale instances, the just-in-time heuristic and genetic algorithm deliver competitive solutions with significantly reduced computation times. These findings highlight the potential of heuristic and metaheuristic approaches in addressing real-world operational challenges in maritime logistics.
DOI:10.1109/ICCECE65250.2025.10985221