Energy-Aware Integrated Scheduling for Quay Crane and IGV in Automated Container Terminal

被引:1
|
作者
Luo, Yuedi [1 ]
Liang, Xiaolei [1 ]
Zhang, Yu [2 ]
Tang, Kexin [2 ]
Li, Wenting [1 ]
机构
[1] Wuhan Univ Sci & Technol, Sch Automobile & Traff Engn, Wuhan 430070, Peoples R China
[2] Wuhan Univ Technol, Sch Transportat & Logist Engn, Wuhan 430063, Peoples R China
基金
中国国家自然科学基金;
关键词
integrated scheduling; loading operation; loading order; dimension-by-dimension mutation sparrow search algorithm; OPTIMIZATION; ALGORITHM;
D O I
10.3390/jmse12030376
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
In this study, we address the integrated scheduling problem involving quay cranes and IGVs in automated terminals. We construct a mixed-integer planning model with the aim of minimizing the total energy consumption during quay crane and IGV operations, focusing on the loading-operation mode. The model considers the impact of the actual stowage of container ships on the loading order. We propose a dimension-by-dimension mutation sparrow search algorithm to optimize the model's solution quality. Building upon the standard sparrow search algorithm, we incorporate cat mapping to enhance the diversity of the initial sparrow population. To improve global search in the early stage and local search in the later stage of the algorithm, we introduce an adaptive t-distribution mutation strategy. Finally, a total of 12 instances with container counts containing 30, 100, and 250 were designed for experiments to validate the effectiveness of the model and algorithm. The experiments demonstrate that, by appropriately increasing the number of quay cranes, configuring more than two or three IGVs can achieve optimal energy consumption for overall operations.
引用
收藏
页数:26
相关论文
共 50 条
  • [41] A quay crane assignment approach for berth allocation problem in container terminal
    Hu, Zhi-Hua
    [J]. 2010 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY AND SECURITY INFORMATICS (IITSI 2010), 2010, : 17 - 21
  • [42] Scheduling of Quay Crane at Container Terminals based on Ant Colony Algorithm
    Xiao Jianmei
    Wang Xihuai
    Ouyang Lingping
    [J]. 2011 INTERNATIONAL CONFERENCE ON MACHINE INTELLIGENCE (ICMI 2011), PT 2, 2011, 4 : 586 - 592
  • [43] A survey of berth allocation and quay crane scheduling problems in container terminals
    Bierwirth, Christian
    Meisel, Frank
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 202 (03) : 615 - 627
  • [44] An exact algorithm for scheduling tandem quay crane operations in container terminals
    Kong, Lingrui
    Ji, Mingjun
    Gao, Zhendi
    [J]. TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2022, 168
  • [45] Optimal Quay Crane Assignment and Scheduling in Port's Container Terminals
    Al-Refaie, Abbas
    Abedalqader, Hala
    [J]. JORDAN JOURNAL OF MECHANICAL AND INDUSTRIAL ENGINEERING, 2021, 15 (02): : 153 - 167
  • [46] An exact algorithm for scheduling tandem quay crane operations in container terminals
    Kong, Lingrui
    Ji, Mingjun
    Gao, Zhendi
    [J]. Transportation Research Part E: Logistics and Transportation Review, 2022, 168
  • [47] Simulation-based Optimization on Quay Crane Scheduling of Container Terminals
    Li Haoyuan
    Sun Qi
    [J]. 2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 1135 - 1139
  • [48] The Joint quay crane scheduling and block allocation problem in container terminals
    Hu, Hongtao
    Chen, Xiazhong
    Zhen, Lu
    Ma, Chengle
    Zhang, Xiaotian
    [J]. IMA JOURNAL OF MANAGEMENT MATHEMATICS, 2019, 30 (01) : 51 - 75
  • [49] Disruption recovery model for berth and quay crane scheduling in container terminals
    Zeng, Qingcheng
    Yang, Zhongzhen
    Hu, Xiangpei
    [J]. ENGINEERING OPTIMIZATION, 2011, 43 (09) : 967 - 983
  • [50] Yard Crane Scheduling Method Based on Deep Reinforcement Learning for the Automated Container Terminal
    Wang, Wuyin
    Huang, Zizhao
    Zhuang, Zilong
    Fang, Huaijin
    Qin, Wei
    [J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2024, 60 (06): : 44 - 57