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A simulation-based vessel-truck coordination strategy for lighterage terminals

机译:基于模拟的轻客货轮卡车协调策略

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Lighterage contributes significantly to the maritime industry since thousand tons of necessary supplies have to be delivered to mother vessels anchored near sea every day. A single lighter waits to receive cargoes from multiple suppliers at the berth, while the trucks wait for their turns to enter the terminal. Due to the limited space, the terminal operation becomes vulnerable to the lack of coordination of their arrivals. In this study, despite a traditional industry, we are interested in applying the emerging technologies to improve the operation efficiency. We develop a simulation-based coordination strategy to construct coordinated schedules for both the lighters and suppliers to reduce congestions in the lighterage terminal The discrete event simulation model is developed based on understanding the real-world terminal in Singapore, and the controlled arrival method, determining coordinated arrival schedules of trucks, is introduced and embedded to the simulation model. The simulation model is tuned up with a benchmark setting of 6-month historical data. To find the optimal strategy, an advanced bi-objective simulation optimization algorithm is employed. According to our findings, the proposed strategy could significantly improve the efficiency of both lighters and trucks in various indicators. At the end, a mobile application prototype is proposed to deliver the coordinated schedules to different parties, and improve the communication between parties.
机译:由于每天都要向锚定在海上的母船交付数千吨的必需品,因此,打火机对海运业做出了重大贡献。单个打火机在停泊处等待接收来自多个供应商的货物,而卡车则等待轮到他们进入码头。由于空间有限,终端操作容易受到到达位置缺乏协调的影响。在这项研究中,尽管有传统行业,但我们有兴趣应用新兴技术来提高运营效率。我们制定了基于仿真的协调策略,为打火机和供应商构建协调的时间表,以减少打火机终端的拥堵情况。离散事件仿真模型是在了解新加坡的实际终端以及控制到达方法的基础上开发的,引入了协调的卡车到达时间表,并将其嵌入到仿真模型中。使用6个月历史数据的基准设置调整仿真模型。为了找到最佳策略,采用了一种先进的双目标仿真优化算法。根据我们的发现,所提出的策略可以在各种指标上显着提高打火机和卡车的效率。最后,提出了一种移动应用程序原型,以将协调的计划表交付给不同的参与者,并改善参与者之间的通信。

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