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Profit-based maritime container assignment models for liner shipping networks

机译:基于利润的班轮运输网络海运集装箱分配模型

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We propose the problem of profit-based container assignment (P-CA), in which the container shipment demand is dependent on the freight rate, similar to the "elastic demand" in the literature on urban transportation networks. The problem involves determining the optimal freight rates, the number of containers to transport and how to transport the containers in a liner shipping network to maximize the total profit. We first consider a tactical-level P-CA with known demand functions that are estimated based on historical data and formulate it as a nonlinear optimization model. The tactical-level P-CA can be used for evaluating and improving the container liner shipping network. We then address the operational-level P-CA with unknown demand functions, which aims to design a mechanism that adjusts the freight rates to maximize the profit. A theoretically convergent trial-and-error approach, and a practical trial-and-error approach, are developed. A numerical example is reported to illustrate the application of the models and approaches.
机译:我们提出了基于利润的集装箱分配(P-CA)问题,其中集装箱运输需求取决于运费,类似于城市交通网络文献中的“弹性需求”。问题涉及确定最佳运费,要运输的集装箱数量以及如何在班轮运输网络中运输集装箱以最大程度地提高总利润。我们首先考虑具有已知需求函数的战术级P-CA,这些需求函数是根据历史数据估算的,并将其公式化为非线性优化模型。战术级别的P-CA可用于评估和改善集装箱班轮运输网络。然后,我们针对需求函数未知的操作级别P-CA进行处理,其目的是设计一种机制来调整运费,以最大程度地提高利润。发展了一种理论上趋同的试错法和一种实用的试错法。报告了一个数值示例,以说明模型和方法的应用。

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