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

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
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  • 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
  • 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.

     

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  • [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]
    陈顺怀, 李俊敏, 王呈方. 北仑—武钢矿石进江江海直达驳运输船队优化[J]. 航海工程, 2001(4): 8-11. https://www.cnki.com.cn/Article/CJFDTOTAL-WHZC200104003.htm

    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]
    秦金娣. 武钢进口铁矿石物流系统优化研究[D]. 武汉: 华中科技大学, 2006.

    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]
    朱丽丽. 长江中下游进口铁矿石运输模式比较分析[J]. 综合运输, 2008(7): 70-71. https://www.cnki.com.cn/Article/CJFDTOTAL-YSZH200807020.htm

    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]
    衡强. 长江至洋山港区江海联运发展战略模式研究[D]. 南京: 河海大学, 2007.

    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]
    杨秋平, 谢新连, 赵家保. 船队规划研究现状与动态[J]. 交通运输工程学报, 2010, 10(4): 85-90. doi: 10.3969/j.issn.1671-1637.2010.04.014

    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]
    谢新连, 李树范, 纪卓尚, 等. 船队规划的线性模型研究与应用[J]. 中国造船, 1989, 30(3): 59-66. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGZC198903005.htm

    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]
    苏绍娟. 不确定动态船队规划的数学模型研究[J]. 中国航海, 2008, 31(2): 158-161. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH200802015.htm

    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
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