分布式鲁棒联合机会约束的船队部署问题

Feifeng Zheng, Zhaojie Wang, En-zhan Zhang, Ming Liu
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引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributionally Robust Joint Chance Constrained Vessel Fleet Deployment Problem
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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