Dynamic container slot allocation with empty container repositioning under stochastic demand

Liang, Jinpeng; Ma, Zhongyuan; Wang, Shuang; Liu, Haitao; Tan, Zhijia

doi:10.1016/j.tre.2024.103603

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2024

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Cited by 3 publications

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Capacity management problems at container terminals

Mar-Ortiz,

Gracia

2024

Reference Module in Social Sciences

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Capacity management problems at container terminals

Mar-Ortiz,

Gracia

2024

Reference Module in Social Sciences

View full text Add to dashboard Cite

Joint optimization of empty container repositioning and inventory control applying dynamic programming and simulated annealing

Cai,

Huang,

Diao

et al. 2024

Applied Soft Computing

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Collaborative Optimization of Container Liner Slot Allocation and Empty Container Repositioning Based on Online Booking Platform

Wang,

Yang,

Diao

et al. 2024

Applied Sciences

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The shipping market is unpredictable and volatile due to some uncontrollable factors such as epidemic, conflicts and natural disasters. There is always an imperfect match between the supply capacity of liner companies and the actual demand of the market, which leads to a waste of slot resources and/or unsatisfied customer demand. Furthermore, the trade off between empty container transportation and laden container transportation is the crucial problem of strategic importance for liner companies. To deal with the above problem, this paper aims to develop a new solution to the collaborative optimization problem of container slot allocation and empty container repositioning by exploring the resource allocation, storage, and repositioning methods collaboratively. An online booking platform is introduced in this paper, and no-shows and customer preferences are considered in the analysis. An innovative integer programming model is established based on an online booking mode and a delivery-postponed strategy. A new branch-and-cut algorithm is then proposed to solve the problem. Finally, numerical experiments are conducted to verify the effectiveness of the proposed model and algorithm. The experimental results show that collaborative optimization can remarkably enhance the revenue of liner companies along with increasing the utilization of slot resources.

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Dynamic container slot allocation with empty container repositioning under stochastic demand

Cited by 3 publications

References 50 publications

Capacity management problems at container terminals

Capacity management problems at container terminals

Joint optimization of empty container repositioning and inventory control applying dynamic programming and simulated annealing

Collaborative Optimization of Container Liner Slot Allocation and Empty Container Repositioning Based on Online Booking Platform

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