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Sailing Speed and Fleet Deployment Optimization for Intercontinental Container Liner Shipping Considering Cargo Time Value

机译:考虑货物时间值,航行速度和舰队部署优化用于洲际集装箱衬里运输

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This article collectively addresses the issues of optimizing the sailing speed of containerships and fleet deployment in intercontinental container liner shipping, taking cargo time values into consideration. A mixed-integer nonlinear programming model is developed to maximize the gross profits of a container shipping line. The sailing speed is divided into o.1 knot intervals and a reciprocal-discretization method is proposed to transform the model into an integer-based linear programming model, which can be solved using optimization solvers such as CPLEX. A case study is conducted based on the Far East-West America liner route of a global container shipping line to assess the effectiveness of the proposed model and the reciprocal-discretization method. The results show that when the cargo time value is taken into consideration, the increased sailing speed of containerships on long legs and the decreased number of deployed containerships will generate greater operating profits for the container shipping line. The rise in bunker price will lead to a stepwise decline in sailing speed of containerships and a stepwise growth in the number of deployed container-ships. Moreover, the downward trend of sailing speed due to the increase of bunker price will be somewhat delayed as the unit container cargo value increases. Several useful insights are drawn from analysis of the results.
机译:本文统称解决了在洲际集装箱划线中优化集装箱和舰队部署的帆船速度,考虑货物时间值。开发了一种混合整数非线性编程模型,以最大限度地提高集装箱运输线的总利润。帆船速度被分为O.1结区间,并且提出了往复离散化方法以将模型转换为基于整数的线性编程模型,可以使用优化求解器如CPLER来解决。案例研究是基于全球集装箱运输线的远东美国划线路线进行的,以评估所提出的模型的有效性和互惠离散化方法。结果表明,当考虑货物时间价值时,长腿上的容器帆船速度增加和部署集装箱数量减少将为集装箱运输线产生更大的运营利润。堡垒价格的上涨将导致容纳帆船速度的逐步下降,并且在部署的集装箱船数量中逐步增长。此外,由于单位集装箱货物价值增加,因此由于地堡价格的增加而导致的帆船速度的下降趋势将稍微延迟。从结果分析中汲取了几种有用的见解。

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