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Minimizing delay of ships in bulk terminals by simultaneous ship scheduling, stockyard planning and train scheduling

机译:通过同时进行船舶调度,堆场规划和火车调度,最大程度地减少散货码头中船舶的延误

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Because of an increase in population, the demand for coal has drastically risen with millions of tons of coal being imported annually through Indian ports. To accommodate with this rise in demand, there has been an increase in the concern over proper ship scheduling and effective stockyard management. This article focuses on these aspects, as well as train scheduling, in the context of coal imports in port terminals. The article employs two heuristic-based greedy construct algorithms to improve port terminal throughput capacity by minimizing the delay of ships in port terminal. Applicability and validity of the model is tested on the database of a port located along the east coast of India.
机译:由于人口增加,对煤炭的需求急剧增加,每年通过印度港口进口数百万吨的煤炭。为了适应需求的增长,人们对适当的船期安排和有效的堆场管理的关注增加了。本文着眼于这些方面,以及在港口码头进口煤炭的情况下的火车时刻表。本文采用了两种基于启发式的贪婪构建算法,以通过最大程度地减少船舶在港口码头的延误来提高港口码头的吞吐能力。该模型的适用性和有效性在印度东海岸的某个港口的数据库中进行了测试。

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