基于出口箱随机到达码头的车船直取装船作业优化

杨忠振; 程健南

doi:10.16411/j.cnki.issn1006-7736.2016.04.016

大连海事大学学报 >

2016 , Vol. 42 >Issue 4: 97 - 104

DOI: https://doi.org/10.16411/j.cnki.issn1006-7736.2016.04.016

交通运输工程

基于出口箱随机到达码头的车船直取装船作业优化

杨忠振 ,
程健南

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(大连海事大学交通运输管理学院，辽宁大连 116026)

杨忠振*（1964-），男，工学博士，教授，博士生导师，E-mail:yangzz@dlmu.edu.cn.

收稿日期: 2016-05-03

修回日期: 2016-06-28

网络出版日期: 2016-06-28

基金资助

国家自然科学基金资助项目（71431001）.

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Optimization of ship loading operations in the context of containers arriving randomly with truck-to-ship

YANG Zhong-zhen ,
CHENG Jian-nan

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(Transportation Management College，Dalian Maritime University，Dalian 116026,China)

Received date: 2016-05-03

Revised date: 2016-06-28

Online published: 2016-06-28

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摘要

基于出口箱随机到达码头的集港模式，针对后续送达的出口箱提出车船直取的装船序列优化模型.在后续送达的出口箱的到港时间与装船时间相近情况下，权衡外集卡进入码头堆场的装卸与运送成本和车船直取产生的等待成本，以车船直取比例最大为目标，对出口箱的装船序列进行优化.为进行数值试验，设计启发式求解算法，并基于锦州港的出口箱随机集港的实际观测数据进行求解计算.结果表明，针对后续送达码头的出口箱实施车船直取装船作业可以有效减少出口箱在码头堆场的费用，提高码头整体的作业效率.

关键词： 集装箱码头; 随机到达; 车船直取; 装卸成本; 等待成本

本文引用格式

杨忠振 , 程健南 . 基于出口箱随机到达码头的车船直取装船作业优化[J]. 大连海事大学学报, 2016 , 42(4) : 97 -104 . DOI: 10.16411/j.cnki.issn1006-7736.2016.04.016

Abstract

For the characteristics of outbound containers being transported to the terminal randomly, the operation mode of truck-to-ship (namely the external trucks send the containers directly to ship) for the follow-up arrived containers was suggested. A model was established to optimize the loading sequence with the objective to maximize the amount of truck-to-ship subject to balancing the waiting cost of the external trucks as well as the unloading/loading and relay transport cost of the follow-up arrived containers. For the numerical examination, the model was solved by using heuristic algorithm based on the data collected in Jinzhou port. Results show that the yard cost of the outbound containers can be saved obviously and the terminal efficiency will increase by the truck-to-ship mode for the follow-up arrived containers.

Key words： container terminal; randomly delivery; truck-to-ship; unloading/loading cost; waiting cost

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