基于强化学习的动态机械故障情景下散货港口弹性增强的双重策略

IF 4.8 2区 环境科学与生态学 Q1 OCEANOGRAPHY
Yaqiong Lv , Yaqi Gao , Jialun Liu
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引用次数: 0

摘要

散货码头的运营效率和应变能力至关重要。它们不仅是能源供应、食品安全和制造业等核心领域的坚实后盾,还肩负着运输煤炭、原油、谷物和矿物等关键材料的重任,确保全球经济平稳无阻地运行。本研究的重点是如何提高散货码头在面对机械故障时的应变能力。鉴于传统应对策略和数学模型在处理港口运营动态不确定性方面的局限性,我们创新性地提出了一种双重策略方法。这种方法巧妙地将动态泊位重新规划与机械设备维护相结合,并利用强化学习(RL)的前沿技术进行优化。通过开发一个智能决策框架,该框架可以智能地整合上述策略,为减少停机时间和提高码头恢复能力提供了一个突破性的解决方案。通过对一个特定散货港口的案例研究,我们验证了这一策略的有效性,并揭示了其在显著提高散货码头运营效率方面的巨大潜力。这项研究不仅为港口运营和物流领域带来了新的思维维度,还强调了区域联络在制定灵活、弹性的运营战略,以应对现代贸易环境中复杂多变的挑战方面所发挥的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dual strategies-based resilience enhancement in a bulk cargo port under dynamic machinery failure scenarios with reinforcement learning
The operational efficiency and resilience of bulk cargo terminals are crucial. They are not only a solid support for core areas such as energy supply, food security, and manufacturing, but also shoulder the heavy responsibility of transporting key materials such as coal, crude oil, grains, and minerals, ensuring the smooth and unobstructed operation of the global economy. This study focuses on how to enhance the resilience of bulk cargo terminals in the face of mechanical failures. Given the limitations of traditional coping strategies and mathematical modeling in dealing with dynamic uncertainties in port operations, we innovatively propose a dual strategy approach. This method cleverly combines dynamic berth replanning with mechanical equipment maintenance, and utilizes cutting-edge techniques of reinforcement learning (RL) for optimization. By developing an intelligent decision-making framework that can intelligently integrate the above strategies, providing a breakthrough solution for reducing downtime and enhancing terminal resilience. Through a case study of a specific bulk cargo port, we have verified the effectiveness of this strategy and revealed its enormous potential in significantly improving the operational efficiency of bulk cargo terminals. This study not only brings new dimensions of thinking to the field of port operations and logistics, but also emphasizes the crucial role of RL in developing flexible and resilient operational strategies to address the complex and ever-changing challenges of modern trade environments.
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来源期刊
Ocean & Coastal Management
Ocean & Coastal Management 环境科学-海洋学
CiteScore
8.50
自引率
15.20%
发文量
321
审稿时长
60 days
期刊介绍: Ocean & Coastal Management is the leading international journal dedicated to the study of all aspects of ocean and coastal management from the global to local levels. We publish rigorously peer-reviewed manuscripts from all disciplines, and inter-/trans-disciplinary and co-designed research, but all submissions must make clear the relevance to management and/or governance issues relevant to the sustainable development and conservation of oceans and coasts. Comparative studies (from sub-national to trans-national cases, and other management / policy arenas) are encouraged, as are studies that critically assess current management practices and governance approaches. Submissions involving robust analysis, development of theory, and improvement of management practice are especially welcome.
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