去掩体:联合路线选择和加油问题

Omar Besbes, Sergei V. Savin
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引用次数: 47

摘要

船舶盈利管理是海上运输的核心问题。我们考虑了两种常用的船舶类型——“班轮”(航线提前确定的船舶)和“游船”(根据可用的航运工作选择未来航线组成部分的船舶),并将船舶利润最大化问题制定为随机动态规划。对于班轮来说,利润最大化问题可以归结为在给定航线上,在燃油价格随机和船舶燃油容量有限的条件下,使燃油成本最小化的问题。在对不同港口燃油价格随机动态的温和假设下,我们给出了最优班轮加油策略的结构特性表征。对于船舶来说,船舶利润最大化将加油决策和航路选择相结合,增加了问题的组合性。我们描述了价格随时间不变且不因港口而异的特殊情况下的最优策略,以及价格随时间不变且因港口而异的特殊情况。在这种特殊情况下,最优策略的结构产生了对问题复杂性的见解,也指导了一般问题设置的启发式构建。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Going Bunkers: The Joint Route Selection and Refueling Problem
Managing shipping vessel profitability is a central problem in marine transportation. We consider two commonly used types of vessels---“liners” (ships whose routes are fixed in advance) and “trampers” (ships for which future route components are selected based on available shipping jobs)---and formulate a vessel profit maximization problem as a stochastic dynamic program. For liner vessels, the profit maximization reduces to the problem of minimizing refueling costs over a given route subject to random fuel prices and limited vessel fuel capacity. Under mild assumptions about the stochastic dynamics of fuel prices at different ports, we provide a characterization of the structural properties of the optimal liner refueling policies. For trampers, the vessel profit maximization combines refueling decisions and route selection, which adds a combinatorial aspect to the problem. We characterize the optimal policy in special cases where prices are constant through time and do not differ across ports and prices are constant through time and differ across ports. The structure of the optimal policy in such special cases yields insights on the complexity of the problem and also guides the construction of heuristics for the general problem setting.
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