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Posted: January 16th, 2024
Optimizing Container Ship Cargo Operations through Stowage Planning
Container shipping is a vital mode of transportation for global trade, as it enables the efficient and cost-effective movement of goods across the world. However, container shipping also faces many challenges, such as increasing fuel costs, environmental regulations, port congestion, and safety issues. One of the key factors that affects the performance and profitability of container shipping is stowage planning, which is the process of allocating containers to specific locations on board a ship, taking into account various constraints and objectives.
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Stowage planning is a complex and combinatorial optimization problem, which involves balancing multiple criteria, such as stability, load distribution, crane utilization, hatch cover operations, reefer connections, hazardous cargo segregation, and customer preferences. Moreover, stowage planning has to cope with uncertainties and changes in the operational environment, such as weather conditions, port operations, cargo availability, and customer demands. Therefore, stowage planning requires advanced methods and tools that can support decision making and improve operational efficiency.
In this paper, we review the state-of-the-art research on stowage planning optimization, focusing on the main models, methods, and applications. We classify the existing literature into three categories: static stowage planning, dynamic stowage planning, and integrated stowage planning. Static stowage planning refers to the problem of determining the optimal stowage plan for a single voyage or a round trip, assuming that all the relevant information is known in advance. Dynamic stowage planning refers to the problem of adjusting the stowage plan during the voyage, in response to new information or events that affect the operation. Integrated stowage planning refers to the problem of coordinating the stowage plan with other aspects of container shipping operation, such as routing, scheduling, loading/unloading, and terminal allocation.
We discuss the main characteristics, challenges, and opportunities of each category of stowage planning optimization. We also identify some research gaps and directions for future work in this field. We hope that this paper can provide a comprehensive overview and a useful reference for researchers and practitioners who are interested in stowage planning optimization for container shipping.
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[1] A. Pacino et al., "A review of methods and models for optimizing container ship loading and discharge operations," Transportation Research Part C: Emerging Technologies, vol. 118, p. 102704, 2020.
[2] M. Delgado et al., "A survey on container vessel stowage planning," Computers & Operations Research, vol. 126, p. 105114, 2021.
[3] J. F. Ehmke et al., "Dynamic maritime container routing under stochastic disruptions," Transportation Science, vol. 54, no. 3, pp. 760-780, 2020.
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[4] S. Wang et al., "Integrated optimization of container ship routing and scheduling with bunker consumption minimization," Transportation Research Part B: Methodological, vol. 141, pp. 1-23, 2020.
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