Volume 12 Issue 4
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2012  >  12(4): 93-99
Next Previous
RUAN Ning, LI Xiang, LIU Zhi-xue. Optimization model of dry bulk feright in Yangtze River based on river-sea transportation mode and investment constraint[J]. Journal of Traffic and Transportation Engineering, 2012, 12(4): 93-99. doi: 10.19818/j.cnki.1671-1637.2012.04.012
Citation: RUAN Ning, LI Xiang, LIU Zhi-xue. Optimization model of dry bulk feright in Yangtze River based on river-sea transportation mode and investment constraint[J]. Journal of Traffic and Transportation Engineering, 2012, 12(4): 93-99. doi: 10.19818/j.cnki.1671-1637.2012.04.012
shu

Optimization model of dry bulk feright in Yangtze River based on river-sea transportation mode and investment constraint

doi: 10.19818/j.cnki.1671-1637.2012.04.012
  • 1.

    School of Management, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China

  • 2.

    China Changjiang National Shipping(Group) Corporation, Wuhan 430062, Hubei, China

More Information
  • Author Bio:

    RUAN Ning (1960-), male, senior engineer, doctoral student, +86-27-50800873, whruanning@163.com

    LIU Zhi-xue (1963-), male, professor, PhD, +86-27-87556465, lsy868@mail.hust.edu.cn

  • Received Date: 2012-02-07
  • Publish Date: 2012-08-25
    Abstract
  • The concepts of river-sea transportation mode and investment constraint were introduced, the existed transportation network of dry bulk freight in Yangtze River was optimized, and the characteristics of river-sea transportation mode and river-sea combined transportation mode were compared.According to the characteristic of mature market for inland shipping and the management feature of rolling planning for shipping enterprise in China, the minimum operation cost and the minimum ship investment cost were taken as objective functions, and the model that integrated transportation mode selection, ship assignment and ship type update was set up.The time dimension of the model was simplified, the Lagrangian relaxation algorithm based on knapsack problem was designed, and the data of group A were used to solve the model.Analysis result shows that while the total shipping cost of current mode is taken as a reference point, the total shipping cost can decrease by about 2% after using river-sea combined transportation mode.After using river-sea transportation mode, the maximum descent range is more than 8%, but the financial risk will increase.While the fund cost rate is 7% and the investment constraint is not considered, cost-reduction effect increases by 16.2%, but net investment budget will raise by 60.1%.From the configuration of optimal route, the river-sea transportation mode and river-sea combined transportation mode must be used together on different routes.

     

    • FullText(HTML)
  • loading
    • References(16)
  • [1]
    KONINGS R, LUDEMA M. The competitiveness of the river-sea transport system: market perspectives on the United Kingdom-Germany corridor[J]. Journal of Transport Geography, 2000, 8(3): 221-228. doi: 10.1016/S0966-6923(00)00015-6
    [2]
    CHARLES L. Sea-river shipping competitiveness and its geo-graphical market area for the Rhone-Saone corridor[J]. Journal of Transport Geography, 2008, 16(2): 100-116. doi: 10.1016/j.jtrangeo.2007.04.003
    [3]
    CHEN Shun-huai, LI Jun-min, WANG Cheng-fang. Optimal fleet for river-sea going transportation of ore on Beilun-Wuhan Route[J]. Ship and Ocean Engineering, 2001(4): 8-11. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-WHZC200104003.htm
    [4]
    QIN Jin-di. Study on the optimization of logistics system about imported iron ore in WISCO[D]. Wuhan: Huazhong University of Science and Technology, 2006. (in Chinese).
    [5]
    ZHU Li-li. Comparative analysis on shipping modes of iron ore in the midstream and downstream of Yangtze River[J]. Comprehensive Transportation, 2008(7): 70-71. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-YSZH200807020.htm
    [6]
    RISSOAN J P. River-sea navigation in Europe[J]. Journal of Transport Geography, 1994, 2(2): 131-142. doi: 10.1016/0966-6923(94)90019-1
    [7]
    HENG Qiang. An analysis on the strategy management of transportation mode from Yangtze River to Yangshan Port[D]. Nanjing: Hohai University, 2007. (in Chinese).
    [8]
    CHRISTIANSEN M, FAGERHOLT K, RONEN D. Ship routing and scheduling: status and perspectives[J]. Trans-portation Science, 2004, 38(1): 1-18. doi: 10.1287/trsc.1030.0036
    [9]
    YANG Qiu-ping, XIE Xin-lian, ZHAO Jia-bao. Research status and prospect of fleet planning[J]. Journal of Traffic and Transportation Engineering, 2010, 10(4): 85-90. (in Chinese). doi: 10.3969/j.issn.1671-1637.2010.04.014
    [10]
    JAIKUMAR M, SOLOMON M M. The tug fleet size prob-lem for barge line operations: apolynomial algorithm[J]. Transportation Science, 1987, 21(4): 264-272. doi: 10.1287/trsc.21.4.264
    [11]
    XIE Xin-lian, LI Shu-fan, JI Zhuo-shang, et al. Study and application on the linear model of fleet planning[J]. Ship-building of China, 1989, 30(3): 59-66. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGZC198903005.htm
    [12]
    SU Shao-juan. Mathematical model study on uncertain multi-stage fleet planning[J]. Navigation of China, 2008, 31(2): 158-161. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH200802015.htm
    [13]
    MEHREZ A, HUNG M S, AHN B H. An industrial ocean-cargo shipping problem[J]. Decision Science, 1995, 26(3): 395-423. doi: 10.1111/j.1540-5915.1995.tb01434.x
    [14]
    AGARWAL R, ERGUN Ö. Ship scheduling and network design for cargo routing in liner shipping[J]. Transportation Science, 2008, 42(2): 175-196. doi: 10.1287/trsc.1070.0205
    [15]
    XIE Xin-lian, WANG Teng-fei, CHEN Dai-song. A dynamic model and algorithm for fleet planning[J]. Maritime Policy and Management, 2000, 27(1): 53-63. https://www.researchgate.net/publication/233576921_A_dynamic_model_and_algorithm_for_fleet_planning
    [16]
    NICHOLSON T A J, PULLEN R D. Dynamic programming applied to ship fleet management[J]. Operational Research Quarterly, 1971, 22(3): 211-220. doi: 10.1057/jors.1971.55
    • Relative Articles
    • Supplements(0)
    • Cited By

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (852) PDF downloads(763) Cited by()
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return