Distributionally Robust Joint Chance Constrained Vessel Fleet Deployment Problem

Feifeng Zheng, Zhaojie Wang, En-zhan Zhang, Ming Liu
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Abstract

This work investigates the problem of vessel fleet deployment for liner shipping. The objective is to minimize the total cost, i.e., the sum of vessel chartering cost and vessel-route operating cost. In the considered problem, the shipment demand for each route is uncertain and its distribution is unknown. Due to lacking historical data, we use the moment-based ambiguity set to characterize the unknown distributions of demands. We then introduce a distributionally robust model and propose a new approximation approach to solve this problem. Finally, numerical experiments are conducted to demonstrate the performance of our approximation approach.
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分布式鲁棒联合机会约束的船队部署问题
本文研究了班轮运输的船队配置问题。目标是尽量减少总成本,即船舶租船成本和船舶航线运营成本的总和。在考虑的问题中,每条路线的运输需求是不确定的,其分布是未知的。由于缺乏历史数据,我们使用基于矩的模糊集来表征需求的未知分布。然后,我们引入了一个分布鲁棒模型,并提出了一种新的近似方法来解决这个问题。最后,通过数值实验验证了该近似方法的有效性。
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