集装箱码头理论船舶等待率与实际船舶等待率差距研究——以釜山新港某码头为例

Jung-Hun Lee, N. Park
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引用次数: 5

摘要

釜山集装箱码头的船舶数量正以每年2.9%的速度增长。尽管停靠船只的数量有所增加,但港务局并没有关于等待率的官方记录。本研究试图比较理论船舶等待率和实际船舶等待率。集装箱码头实际船舶等待率来源于PORT-MIS和Terminal Operating System (TOS) 2014 - 2016年的数据。在此基础上,提出了集装箱码头实际船舶等待率的测量方法和步骤,以便进行实时测量。在理论船舶等待率的绘制中,将船舶到达概率分布和船舶服务概率分布通过x平方分布方法展开后,应用排队理论。因此,一个码头3年的总候船数为587艘,月均服务时间和月均候船时间分别为13.8小时和17.1小时,月均候船数为16.3艘。同时,根据多服务器排队理论,当泊位占用率为70%时,船舶等待率为31.1%。这一巨大差距背后的原因是,周日、周二、周三等一周的高峰时段航行拥堵。此外,周日的候船次数是平时的两倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on the Gap between Theoretical and Actual Ship Waiting Ratio of Container Terminals : The Case of a Terminal in Busan New Port
The number of ships serviced at the container terminals in Busan is increasing by 2.9% per year. In spite of the increase in calling ships, there are no official records of waiting rate by the port authority. This study attempts to compare the theoretical ship waiting ratio and actual ship waiting ratio. The actual ship waiting ratio of container terminals is acquired from the 2014 to 2016 data of PORT-MIS and Terminal Operating System (TOS). Furthermore, methods and procedures to measure the actual ship's waiting rate of container terminal are proposed for ongoing measurement. In drawing the theoretical ship waiting ratio, the queuing theory is applied after deploying the ship arrival probability distribution and ship service probability distribution by the Chi Square method. As a result, the total number of ships waiting in a terminal for three years was 587, the average monthly service time and the average waiting time was 13.8 hours and 17.1 hours, respectively, and the monthly number of waiting ships was 16.3. Meanwhile, according to the queuing theory with multi servers, the ship waiting ratio is 31.1% on a 70% berth occupancy ratio. The reason behind the huge gap is the congested sailing in the peak days of the week, such as Sunday, Tuesday, and Wednesday. In addition, the number of waiting ships recorded on Sundays was twice as much as the average number of waiting ships.
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