The load planning and sequencing problem for double-stack trains

Moritz Ruf , Jean-François Cordeau , Emma Frejinger
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Abstract

This paper addresses the integrated load planning and sequencing problem (LPSP) for double-stack trains. This decision-making problem occurs in intermodal terminals and consists in assigning containers from a storage area to slots on railcars of outbound trains and in determining the loading sequence of the handling equipment. Even though this a relevant operational problem, it has seen no attention in the operations research literature so far. Prior models either focus on single-stack railcars or treat the load planning and sequencing separately. By extending prior work on load planning, we propose two different integer linear programming formulations. We show by an extensive numerical study that we are able to solve instances with up to 50 containers with a commercial general-purpose solver in less than 20 min. A case study based on real data provided by the Canadian National Railway Company highlights that the LPSP can reduce the number of container handlings in intermodal terminals compared to sequential solutions by on average 11.3% and 16.5% for gantry cranes and reach stackers, respectively.

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双层列车的负荷规划与排序问题
研究了双层列车的综合负荷规划与排序问题。这种决策问题发生在多式联运码头,包括将集装箱从存储区域分配到出站列车的轨道车厢槽,以及确定装卸设备的装载顺序。尽管这是一个相关的运筹学问题,但迄今为止在运筹学文献中还没有引起重视。先前的模型要么关注单堆栈轨道车辆,要么单独处理负载规划和排序。通过对负荷规划的扩展,我们提出了两种不同的整数线性规划公式。我们通过广泛的数值研究表明,我们能够在不到20分钟的时间内用商业通用求解器解决多达50个集装箱的实例。基于加拿大国家铁路公司提供的真实数据的案例研究强调,与顺序解决方案相比,LPSP可以减少多式联运码头的集装箱处理量,龙门起重机和到达式堆垛机分别平均减少11.3%和16.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.10
自引率
8.10%
发文量
41
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