Assessing the Effects of Container Handling Strategies on Enhancing Freight Throughput

Sarita Rattanakunuprakarn, Mingzhou Jin, Mustafa Can Camur, Xueping Li
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Abstract

As global supply chains and freight volumes grow, the U.S. faces escalating transportation demands. The heavy reliance on road transport, coupled with the underutilization of the railway system, results in congested highways, prolonged transportation times, higher costs, and increased carbon emissions. California's San Pedro Port Complex (SPPC), the nation's busiest, incurs a significant share of these challenges. We utilize an agent-based simulation to replicate real-world scenarios, focusing on the intricacies of interactions in a modified intermodal inbound freight system for the SPPC. This involves relocating container classification to potential warehouses in California, Utah, Arizona, and Nevada, rather than exclusively at port areas. Our primary aim is to evaluate the proposed system's efficiency, considering cost and freight throughput, while also examining the effects of workforce shortages. Computational analysis suggests that strategically installing intermodal capabilities in select warehouses can reduce transportation costs, boost throughput, and foster resour
评估集装箱装卸策略对提高货运吞吐量的影响
随着全球供应链和货运量的增长,美国面临着不断升级的运输需求。对公路运输的严重依赖,再加上铁路系统利用不足,导致公路拥堵、运输时间延长、成本上升和碳排放增加。加利福尼亚州的圣佩德罗港口综合体(SPPC)是全美最繁忙的港口,在这些挑战中占有重要份额。我们利用基于代理的模拟来复制现实世界中的情景,重点关注 SPPC 的改良多式联运进港货运系统中错综复杂的互动。这涉及将集装箱分类转移到加利福尼亚州、犹他州、亚利桑那州和内华达州的潜在仓库,而不仅仅是港口地区。我们的主要目的是评估拟议系统的效率,同时考虑成本和货物吞吐量,并研究劳动力短缺的影响。计算分析表明,在选定的仓库中战略性地安装多式联运能力可以降低运输成本、提高吞吐量并促进资源分配。
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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