Empty Containers Distribution Problem considering the Container Ship Route

컨테이너선의 경로를 고려한 공 컨테이너의 분배 문제에 대한 연구

  • Shin, Sang-Hoon (Department of Industrial Engineering, Pusan National University) ;
  • Moon, Il-Kyeong (Department of Industrial Engineering, Pusan National University)
  • 신상훈 (부산대학교 산업공학과) ;
  • 문일경 (부산대학교 산업공학과)
  • Received : 2008.12.20
  • Accepted : 2009.01.19
  • Published : 2009.03.31

Abstract

Today international trade through maritime transportation is significantly increasing. Due to this increase, shipping companies are faced with problems concerning the repositioning of empty containers from import dominant ports. The liner shipping service network has been provided to transport containers which load customers' freights. Container ships are moved on the liner shipping service network by observing the predetermined route and transportation time. This research deals with the empty containers distribution problem considering the container ship route. A mathematical model based on the mixed integer program has been introduced in this study. The objective is to minimize the total relevant costs of empty containers such as handling, leasing, and inventory holding, etc. Due to the complexity of the problem, a genetic algorithm has been suggested to solve large sized problems within a reasonable time. Numerical experiments have been conducted to show the efficiency of the genetic algorithm.

Keywords

References

  1. Crainic T. G., Dejax P. and Delorme L. (1989), Models for multimode multicommodity location problems with interdepot balancing requirements, Annals of Operations Research, 18, 279-302
  2. Crainic T. G. and Delorme L. (1993), Dual ascent procedures for multicommodity location allocation problems with balancing requirements, Transportation Science, 27(2), 90-101 https://doi.org/10.1287/trsc.27.2.90
  3. Crainic, T. G., Gendreau, M., Soriano, P., Toulouse M. (1993), A tabu search procedure for multicommidity location/allocation with balancing requirements, Annals of Operations research, 41, 359-383 https://doi.org/10.1007/BF02023001
  4. Gen, M. and Cheng, R. (1997), Genetic Algorithm and Engineering Design, (New York : Wiley)
  5. Gendron B. and Crainic T. G. (1997), A parallel branch and bound algorithm for multicommodity location with balancing requirements, Computers and Operations Research, 24, 829-847 https://doi.org/10.1016/S0305-0548(96)00094-9
  6. Goldberg, D. E. (1989), Genetic Algorithms in Search, Optimization and Machine Learning, (Addison Wesley)
  7. Hossein J., Anastasios C., Petros I. (2006), Port dynamic empty container reuse, Transportation Research Part E, 42, 4360
  8. Koichi S., Akio I., Etsuko N., Stratos P. (2007), The container shipping network problem with empty container repositioning, Transportation Research Part E, 43, 39-59 https://doi.org/10.1016/j.tre.2005.05.003
  9. Li, J. A., Leung, S. C., Wu, Y., Liu, K. (2007), Allocation of empty containers between multi-ports, European Journal of Operational Research, 182, 400-412 https://doi.org/10.1016/j.ejor.2006.09.003
  10. Li, J. A., Liu, K., Leung, S. C., Lai, K. K. (2004), Empty container management in a port with long-run average criterion, Mathematical and Computer Modeling, 40, 85-100 https://doi.org/10.1016/j.mcm.2003.12.005
  11. Luca C., Raffaele P., Walter U. (2006), Minimizing fleet operating costs for a container transportation company, European Journal of Operational Research, 171, 776-786 https://doi.org/10.1016/j.ejor.2004.09.005
  12. Shen, W.S., Khoong, C. M. (1995), A DSS for empty container distribution planning, Decision Support Systems, 15, 75-82 https://doi.org/10.1016/0167-9236(94)00037-S
  13. Wan K. and Levary R. R. (1995), A linear-programming based price negotiation procedure for contracting shipping companies, Transportation Research A, 29(3), 173-186
  14. Hyundai Merchant Marine co., Ltd, HMM. (2008), http://www.hmm21.com