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Model and algorithm for a liner ship fleet planning problem with uncertain container shipment demand

机译:划线船舰队规划问题的模型与算法,不确定容器运输需求

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This paper deals with a short-term liner ship fleet Planning (LSFP) problem with container shipment demand uncertainty. Assuming that container shipment demand between any two ports on each ship route follows a normal distribution, this paper develops an integer linear programming model with chance constraints for the LSFP problem and proposes a two-phase heuristic algorithm for solving the large-scale LSFP instances. Finally, numerical examples are used to show application of the proposed model and evaluate the performance of the two-phase heuristic algorithm.
机译:本文涉及一个短期衬里船队规划(LSFP)的容器运输需求不确定性。 假设每个船舶路线上的任何两个端口之间的容器运输需求遵循正常分布,这篇论文开发了一个整数线性编程模型,机会限制了LSFP问题,并提出了一种解决大规模LSFP实例的两相启发式算法。 最后,使用数值例子来显示所提出的模型的应用并评估两相启发式算法的性能。

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