件杂货码头堆场布局优化研究

doi:10.16182/j.issn1004731x.joss.20-0138

系统仿真学报 ›› 2021, Vol. 33 ›› Issue (6): 1436-1443.doi: 10.16182/j.issn1004731x.joss.20-0138

件杂货码头堆场布局优化研究

刘志雄¹, 董宇², 张春君³

1.武汉科技大学机械自动化学院,湖北武汉 430081;
2.武汉科技大学汽车与交通工程学院,湖北武汉 430065;
3.武汉巨人大学城教育培训有限责任公司,湖北武汉 430014

收稿日期:2020-03-24 修回日期:2020-07-06 出版日期:2021-06-18 发布日期:2021-06-23
作者简介:刘志雄(1975-),男,博士,教授,研究方向为系统仿真与优化。E-mail：lzx_brad@126.com

Yard Layout Optimization for General Cargo Terminal

Liu Zhixiong¹, Dong Yu², Zhang Chunjun³

1. School of Mechanical Automation, Wuhan University of Science and Technology, Wuhan 430081, China;
2. School of Automotive and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, China;
3. Wuhan Giant University City Education and Training Limited liability company, Wuhan 430014, China

Received:2020-03-24 Revised:2020-07-06 Online:2021-06-18 Published:2021-06-23

摘要/Abstract

摘要： 堆场布局是港口堆场分配决策的重要组成部分,直接影响着港口堆场的货物储存能力和码头通过能力。以件杂货码头堆场为对象,在对生产数据进行统计分析的基础上,以最小化拖车水平运输总距离为目标,结合主要货物种类和堆场堆存策略,建立件杂货码头堆场布局优化数学模型。利用数学规划优化器Gurobi求解不同堆存策略下的堆场布局优化方案,并通过件杂货生产作业仿真模型对堆场布局优化方案进行了验证分析。针对3种不同堆存策略下堆场布局优化方案的仿真计算结果显示,相比实际生产数据,集港货物数量分别提高了4.34%,2.96%和3.44%,出港货物数量也分别提高了1.61%,0.02%和1.21%。研究结果表明：堆场布局优化方案能够提高码头吞吐量和通过能力。

关键词: 件杂货码头, 堆存策略, 堆场布局, 优化

Abstract: Yard layout is an important component of the port yard allocation decision which affects the cargo storage capacity and through capacity for the port yard. As to the general cargo yard, combined with the cargo type and the yard storage strategy, the yard layout optimization model for the general cargo terminal is presented based on the statistical analysis for the production data when the optimization aim is minimizing the total horizontal transport distance of the trailer. The yard layout optimization results are employed by the mathematical tool Gurobi for different storage strategies, and the yard layout optimization results are verified and analyzed by the general cargo terminal operation simulation model. The yard layout optimization simulation results of three different storage strategy methods show that compared with the practical production data, the arrival cargo quantities at port are respectively improved 4.34%, 2.96% and 3.44%, and depart cargo quantities from port are respectively improved 1.61%, 0.02% and 1.21%. The research results indicate that the yard layout optimization results can improve the handling capacity and the through capacity of the terminal.

Key words: general cargo terminal, storage strategy, yard layout, optimization

中图分类号:

TP391.9

刘志雄, 董宇, 张春君. 件杂货码头堆场布局优化研究[J]. 系统仿真学报, 2021, 33(6): 1436-1443.

Liu Zhixiong, Dong Yu, Zhang Chunjun. Yard Layout Optimization for General Cargo Terminal[J]. Journal of System Simulation, 2021, 33(6): 1436-1443.

参考文献

[1] 刑倩晗. 基于系统生产效率的海口港件杂货装卸搬运机械配置研究[D]. 武汉: 武汉理工大学, 2010.
Xing Qianhan.Research on the Configuration of Cargo Handling Machinery in Haikou Port Based on System Production Efficiency[D]. Wuhan: Wuhan University of Technology, 2010.
[2] 张鹏. 天津港件杂货码头装卸作业效率改善研究[D]. 天津: 天津大学, 2011.
Zhang Peng.Study on the Efficiency Improvement of Loading and Unloading Operation of Tianjin Port Wharf Tianjin[D]. Tianjin: Tianjin University, 2011.
[3] 郑丽. 件杂货码头装卸生产与物流仿真[J]. 水运工程, 2017(7): 165-169.
Zheng Li.Loading and Unloading Production and Logistics Simulation of Grocery Wharf[J]. Marine Traffic Engineering, 2017(7): 165-169.
[4] 刘志雄, 熊杨, 邓兴旭, 等. 基于Plant Simulation的件杂货码头作业仿真研究[J]. 系统仿真学报, 2018, 30(5): 1980-1987.
Liu Zhixiong, Xiong Yang, Deng Xingxu, et al.Research on Simulation of Bulk Cargo Wharf Operation Based on Plant Simulation[J]. Journal of System Simulation, 2018, 30(5): 1980-1987.
[5] 王爱虎, 欧凡, 骆焕. 件杂货港口仓储与排船一体化物流管理[J]. 大连海事大学学报, 2006, 32(1): 22-26.
Wang Aihu, Ou Fan, Luo Huan.Integrated Logistics Management of Cargo Port Storage and Ship Arrangement[J]. Journal of Dalian Maritime University, 2006, 32(1): 22-26.
[6] 黄家清. 特殊情况下天津港杂货船装船作业方法研究[D]. 大连: 大连海事大学, 2010.
Huang Jiaqing.Study on Loading Methods of Miscellaneous Cargo Vessels in Tianjin Port under Special Conditions[D]. Dalian: Dalian Maritime University, 2010.
[7] 张兰强. 港口件杂货库场效能评价研究[D]. 大连: 大连海事大学, 2014.
Zhang Lanqiang.Research on Effectiveness Evaluation of Port Cargo Depot[D]. Dalian: Dalian Maritime University, 2014.
[8] 刘志雄, 贺晶晶, 张煜. 基于拖板作业单元的件杂货装卸作业线建模研究[J]. 工业工程, 2015, 18(6): 1-7.
Liu Zhixiong, He Jingjing, Zhang Yu.Research on Modeling of Cargo Handling Line Based on Trailer Unit[J]. Industrial Engineering, 2015, 18(6): 1-7.
[9] 刘志雄, 陈玉婷, 熊杨. 基于拖车共享的件杂货码头混合作业工艺[J]. 上海海事大学学报, 2018, 39(3): 6-13.
Liu Zhixiong, Chen Yuting, Xiong Yang.Mixed Operation Technology of Bulk Cargo Wharf Based on Trailer Sharing[J]. Journal of Shanghai Maritime University, 2018, 39(3): 6-13.
[10] 刘志雄, 胡晓晓, 张煜. 基于RFID的件杂货堆场标识方法研究[J]. 物流技术, 2015, 34(12): 206-208.
Liu Zhixiong, Hu Xiaoxiao, Zhang Yu.Research on RFID-Based Identification Method of Grocery Yard[J]. Logistics Technology, 2015, 34(12): 206-208.
[11] 刘志雄, 邓兴旭, 熊杨, 等. 件杂货码头堆场堆存策略仿真研究[J]. 计算机仿真, 2017, 34(8): 373-376.
Liu Zhixiong, Deng Xingxu, Xiong Yang, et al.Simulation Research on Stockpile Strategy of Bulk Cargo Wharf Yard[J]. Computer Simulation, 2017, 34(8): 373-376.
[12] 李俊, 刘志雄, 张煜. 件杂货码头连续泊位调度与货场分配[J]. 交通运输系统工程与信息, 2020, 20(1): 175-182.
Li Jun, Liu Zhixiong, Zhang Yu.Continuous Berth Scheduling and Cargo Yard Allocation for Bulk Cargo Terminals[J]. Transportation Systems Engineering and Information, 2020, 20(1): 175-182.
[13] Tian H W, Liu Z X, Deng X X.General Cargo Yard Storage Allocation Optimization Based on Layout[C]// 2018 Chinese Control and Decision Conference (IEEE Conferences). Shenyang, China: IEEE, 2018: 5271-5276.
[14] Bruglieri M, Gerzelj E, Guenzani A, et al.Solving the 3-D Yard Allocation Problem for Break Bulk Cargo Via Variable Neighborhood Search Branching[J]. Electronic Notes in Discrete Mathematics (S1571-0653), 2015, 47(2): 237-244.
[15] 朱琳, 何其昌, 范秀敏. 多品种混合装配车间配料区物料摆放布局优化[J]. 中国机械工程, 2012, 23(22): 2708-2713.
Zhu Lin, He Qichang, Fan Xiumin.Optimizaiton of Warehouse Items Layout in a Mixed Assembly Workshop[J]. China Mechanical Engineering, 2012, 23(22): 2708-2713.
[16] 刘嘉胤, 石涛, 张楠, 等. 基于遗传算法和仿真技术仓库布局优化[J]. 计算机与数字工程, 2019, 47(4): 833-837.
Liu Jiayin, Shi Tao, Zhang Nan, et al.Optimization of Warehouse Layout Based on Genetic Algorithm and Simulation[J]. Computer and Digital Engineering, 2019, 47(4): 833-837.

件杂货码头堆场布局优化研究

Yard Layout Optimization for General Cargo Terminal

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