Fleet management of iron-ore marine transportation by a multi-agent simulation
Fleet management of iron-ore marine transportation by a multi-agent simulation
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多智能体模拟铁矿石海上运输车队管理
DOI：
10.2534/jjasnaoe.12.185
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Hisaho Nozawa
中科院分区：
文献类型：
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作者：
H. Akimoto;Shoji Takechi;Hisaho Nozawa
为了应对近年来运费市场的剧烈波动，航运公司和造船公司都需要一种能够满足经济需求的船队结构设计工具。作者利用散货船的数值模拟，根据其大小和航线来评估船舶的最优组合。本文采用多智能体方法对铁矿运输船运输网络进行了仿真。它反映了钢铁制造企业铁矿石库存的运营成本、短缺风险。本文还讨论了由于船舶装载功能意外中断而造成港口船舶拥挤的联运救济作业的经济效益。
To cope with the highly volatile market of freight rate in recent years, both shipping and shipbuilding companies require a tool for designing the structure of fleet that satisfy the economic demand. The authors use a numerical simulation of bulk carriers to evaluate the optimal portfolio of ships by their size and routes. In this study, we simulate the transportation network of iron ore carriers using multi agent approach. It shows the operation cost, shortage risk of iron ore stocks in steel manufacturing companies. We also discusses the economical benefit of combination trade and remedy operation for the congestion of ships in a port caused by accidental breakdown of its loading functions.