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컨테이너 터미널의 자원 부하를 고려한 최적 장치계획 모형
Yard Planning Considering the Load Profile of Resources in Container Terminals

원승환    (한국해양수산개발원 해양물류연구부   ); 김갑환    (부산대학교 산업공학과  );
  • 초록

    The main activities of container terminals are to load container freights to vessels, discharge them from vessels, and store them in the storage yard. Container terminals make many operational plans to execute these functions effectively. If the plans do not consider enough the loads of related resources, they may have low actualities. This study discusses the optimal yard planning model which considers various resources, such as the storage yard, yard cranes, internal vehicles, and travel lanes, in container terminals. The model determines the groups and amounts of containers which are stored in each storage block by using the resource profile. The yard planning problem is represented to the multi-commodity minimal cost flow problem and is formulated to the linear programming model. In order to explain the application of the mathematical model, the numerical examples are presented. Additionally, the relationship between the average load ratio and the relocation ratio is discussed.


  • 주제어

    Yard Planning .   Container Terminal .   Resource Profiles .   Multi-Commodity Minimal Cost Flow Problem.  

  • 참고문헌 (8)

    1. Cao, B. and Uebe, G. (1995), Solving transportation problems with nonlinear side constraints with tabu search, Computers and Operations Research, 22(6), 593-603 
    2. Kozan, E. (2000), Optimising container transfers at multimodal terminals, Mathematical and Computer Modelling, 31(10-12), 235-243 
    3. Lee, B. K. and Kim, K. H. (2007), Cycle time models for yard cranes considering block layouts in container terminals, Journal of the Korean Institute of Industrial Engineers, 33(1), 110-125     
    4. Won, S. H. and Kim, K. H. (2006), Allocating storage spaces for temporary inventories considering handling, transportation, and storage space capacities, Journal of Korean Operations Research and Management Science Society, 31(3), 11-25     
    5. Zhang, C., Liu, J., Wan, Y. -w., Murty, K. G., and Linn, R. J. (2003), "Storage space allocation in container terminals", Transportation Research Part B, 37(10), 883-903 
    6. Larson, N. and Kusiak, A. (1995), Work-in-process space allocation : a model and an industrial application, IIE Transactions, 27(4), 497-506 
    7. Kim, K. H. and Park, K. T. (2003), Dynamic space allocation for temporary storage, International Journal of Systems Science, 34(1), 11-20 
    8. Vollmann, T. E., Berry, W. L., Whybark, D. C., and Jacobs, F. R. (2005), Manufacturing Planning and Control for Supply Chain Management, 5th Edition, Mc-Graw Hill, New York 
  • 이 논문을 인용한 문헌 (3)

    1. Won, Seung-Hwan ; Kim, Kap-Hwan 2009. "Deployment of Yard Cranes Considering Storage Plans in Container Terminals" 한국항해항만학회지 = Journal of navigation and port research, 33(1): 79~90     
    2. Ha, Byung-Hyun ; Kim, Sang-Su 2012. "A* Algorithm for Optimal Intra-bay Container Pre-marshalling Plan" 대한산업공학회지 = Journal of Korean institute of industrial engineers, 38(2): 157~172     
    3. Kim, Dong-Won 2015. "The Estimation of Productivity Considering New Technology Port- Equipment By Using Simulation" 韓國컴퓨터情報學會論文誌 = Journal of the Korea Society of Computer and Information, 20(1): 237~246     

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