Comparison of operations of AGVs and ALVs in an automated container terminal

被引:0
|
作者
Hyo Young Bae
Ri Choe
Taejin Park
Kwang Ryel Ryu
机构
[1] Pusan National University,Department of Computer Engineering
来源
关键词
Automated container terminal; Automated guided vehicle; Automated lifting vehicle; Deadlock avoidance; Quayside productivity;
D O I
暂无
中图分类号
学科分类号
摘要
In an automated container terminal, the automated guided vehicles (AGVs) and the automated lifting vehicles (ALVs) are the most popular candidates to be used for transporting containers between the quayside and the storage yard. In this paper, we compare the operational productivities of the two types of vehicles when used in combination with the quay cranes of various performances. We assume a flexible path layout in which the vehicles can move almost freely in any vertical and horizontal directions. The traffic control scheme employed in our simulation finds a minimum- time route and schedules the travel to avoid deadlocks. Simulation experiments show that the ALVs reach the same productivity level as the AGVs using much less number of vehicles due to its self-lifting capability. However, the results also reveal that the AGVs eventually catch up the performance of the ALVs in most cases if the number of vehicles given is large enough. An exception is when the tandem double-trolley QCs are used for loading, in which case the AGVs cannot catch up the ALVs no matter how many more vehicles are added.
引用
收藏
页码:413 / 426
页数:13
相关论文
共 50 条
  • [41] INFLUENCE OF CONTAINER SHIP CAPACITY ON TERMINAL OPERATIONS IN SMALLER CONTAINER PORTS
    Stojakovic, Maja
    Twrdy, Elen
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON TRAFFIC AND TRANSPORT ENGINEERING (ICTTE), 2012, : 51 - 55
  • [42] Optimizing container terminal operations: a systematic review of operations research applications
    Weerasinghe, Buddhi A. A.
    Perera, H. Niles
    Bai, Xiwen
    MARITIME ECONOMICS & LOGISTICS, 2024, 26 (02) : 307 - 341
  • [43] Dynamic yard allocation for automated container terminal
    He, Junliang
    Xiao, Xin
    Yu, Hang
    Zhang, Zhuo
    ANNALS OF OPERATIONS RESEARCH, 2022, 343 (3) : 927 - 948
  • [44] Modeling and Simulation of Automated Container Terminal Operation
    Zhu, Minghua
    Fan, Xiumin
    Cheng, Huanchong
    He, Qichang
    JOURNAL OF COMPUTERS, 2010, 5 (06) : 951 - 957
  • [45] Research on the System Technology for Automated Container Terminal
    Yang, Rui
    Li, Qing
    2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 3463 - 3466
  • [46] Multiobjective scheduling optimization of AGVs in DQN algorithm-based automated container terminals
    Chu, Liangyong
    Liang, Dong
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 45 (05): : 996 - 1004
  • [47] CONTAINER TERMINAL OPERATION AND OPERATIONS RESEARCH RECENT CHALLENGES
    Voss, Stefan
    TRANSPORTATION SYSTEMS: ENGINEERING & MANAGEMENT, 2007, : 387 - 396
  • [48] Analysis of berth allocation and inspection operations in a container terminal
    Guan, Yongpei
    Yang, Kang-hung
    MARITIME ECONOMICS & LOGISTICS, 2010, 12 (04) : 347 - 369
  • [49] A bibliometric analysis and assessment of container terminal operations research
    Dragovic, Branislav
    Zrnic, Nenad
    Tzannatos, Ernestos
    Kosanic, Nenad
    Dragovic, Andro
    MARITIME BUSINESS REVIEW, 2023, 8 (03) : 269 - 293
  • [50] Analysis of berth allocation and inspection operations in a container terminal
    Yongpei Guan
    Kang-hung Yang
    Maritime Economics & Logistics, 2010, 12 : 347 - 369