Optimal Scheduling Model of Yard Cranes in Container Yard

被引:0
作者
Guo, Jianquan [1 ]
Kun, Fan [1 ]
机构
[1] Shanghai Univ Sci & Technol, Sch Business, Shanghai 200093, Peoples R China
来源
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES | 2010年 / 9卷
关键词
yard cranes; the container yard; yard crane deployment; containers; TERMINALS;
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Since yard cranes are the most popular container handling equipment in the container terminals, rational yard cranes deployment solutions are of great important to the efficiency of container handling operations in container terminals. This paper discusses the problem of scheduling multiple yard cranes among blocks to perform a given set of loading or unloading jobs in a container yard. This deployment problem is formulated as an integer nonlinear program. The objective function of the formulation is to minimize the makespan for multiple yard cranes to complete all the tasks, which includes the operating time at each container handling and the travel time between tasks. The performance of the model is evaluated by compared with a modified model, whose objective function is minimizing the travel time of yard cranes. And it proves that the model formulated in this paper is effective.
引用
收藏
页码:371 / 375
页数:5
相关论文
共 50 条
  • [31] Container yard template planning under uncertain maritime market
    Zhen, Lu
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2014, 69 : 199 - 217
  • [32] Optimization of Container Stowage in a Yard Block Using a Genetic Algorithm
    Serban, Cristina
    Carp, Doina
    STUDIES IN INFORMATICS AND CONTROL, 2016, 25 (01): : 123 - 130
  • [33] A bi-objective model for robust yard allocation scheduling for outbound containers
    Liu, Changchun
    Zhang, Canrong
    Zheng, Li
    ENGINEERING OPTIMIZATION, 2017, 49 (01) : 113 - 135
  • [34] A hybrid parallel genetic algorithm for yard crane scheduling
    He, Junliang
    Chang, Daofang
    Mi, Weijian
    Yan, Wei
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2010, 46 (01) : 136 - 155
  • [35] Yard Crane Scheduling with Real-time Reshuffle
    Man, Xiaoyi
    Zheng, Feifeng
    Chu, Feng
    Xu, Yinfeng
    PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND SYSTEMS MANAGEMENT (IESM 2019), 2019, : 225 - 230
  • [36] Heuristic/Metaheuristic-Based Simulation Optimization Approaches for Integrated Scheduling of Yard Crane, Yard Truck, and Quay Crane Considering Import and Export Containers
    HSU, HSIEN-PIN
    CHOU, CHIEN-CHANG
    WANG, CHIA-NAN
    IEEE ACCESS, 2022, 10 : 64650 - 64670
  • [37] Yard space allocation of container port based on dual cycle strategy
    Tan, Caimao
    Qin, Tiantian
    He, Junliang
    Wang, Yu
    Yu, Hang
    OCEAN & COASTAL MANAGEMENT, 2024, 247
  • [38] Improved Benders decomposition for stochastic yard template planning in container terminals
    Hu, Hongtao
    Mo, Jiao
    Zhen, Lu
    Transportation Research Part C: Emerging Technologies, 2021, 132
  • [39] A branch-and-price method for integrated yard crane deployment and container allocation in transshipment yards
    Jiang, Xin Jia
    Jin, Jian Gang
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2017, 98 : 62 - 75
  • [40] Crane scheduling for opportunistic remarshaling of containers in an automated stacking yard
    Choe, Ri
    Kim, Tae Sung
    Kim, Taekwang
    Ryu, Kwang Ryel
    FLEXIBLE SERVICES AND MANUFACTURING JOURNAL, 2015, 27 (2-3) : 331 - 349