Barge transport suffers from a high degree of uncertainty resulting from unreliable container arrivals (e.g. due to deep sea vessel delays), and dynamism that leads to limited information availability during planning. This paper studies the impact of uncertainty and dynamism using real data of an inland terminal. Our method consists of iterating weekly operations for one year to evaluate the long term performance. Each iteration involves solving a stochastic program for planning barge calls, and then simulating actual events. We show that uncertainty has an impact of up to 53% and dynamism up to 20% on total costs.

中文翻译：

---

具有随机集装箱到达的动态驳船计划

驳船运输由于不可靠的集装箱到达（例如，由于深海船只延误）和动态性而导致高度不确定性，动态性导致计划期间信息的可用性有限。本文使用内陆码头的真实数据研究不确定性和动态性的影响。我们的方法包括每周迭代一年以评估长期性能。每次迭代都涉及解决一个随机程序，以计划驳船呼叫，然后模拟实际事件。我们表明，不确定性对总成本的影响最大为53％，动态性的影响最大为20％。