Algorithm Research & Explore
|
2349-2354

Study on AGV scheduling with considering AGV partner in automated container ports

Cheng Congcong
Liang Chengji
Li Ye
Institute of Logistics Science & Engineering, Shanghai Maritime University, Shanghai 201306, China

Abstract

To improve the efficiency of automatic container port equipment, this paper proposed a new container import and export technology, namely yard-yard crane-AGV partner-AGV-quay crane. On the basis of considering the buffer capacity limit, it built an AGV scheduling mixed integer programming model with time window constraint. It designed a heuristic algorithm to solve the AGV partner's time window and solved the model by PSO algorithm, and presented a corresponding scheduling optimization scheme. The experiment results show that the setting of the AGV partner can effectively improve the coordination between AGV and yard crane and reduce the waiting time between the equipment. When the AGV partner capacity is certain, the waiting time of the yard crane decreases with the increase of AGV.

Foundation Support

国家自然科学基金资助项目(71471110,61540045)
上海市科委创新资助项目(16040501500,16DZ1201402,14170501500)
上海市重点学科资助项目(J50604)
陕西省社会科学基金资助项目(2015D060)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0091
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Algorithm Research & Explore
Pages: 2349-2354
Serial Number: 1001-3695(2019)08-022-2349-06

Publish History

[2019-08-05] Printed Article

Cite This Article

程聪聪, 梁承姬, 李晔. 自动化集装箱港口考虑AGV伴侣的AGV调度优化问题研究 [J]. 计算机应用研究, 2019, 36 (8): 2349-2354. (Cheng Congcong, Liang Chengji, Li Ye. Study on AGV scheduling with considering AGV partner in automated container ports [J]. Application Research of Computers, 2019, 36 (8): 2349-2354. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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