留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

考虑货主偏好的内支线集装箱班轮航线网络规划模型

杜剑 赵旭 计明军

杜剑, 赵旭, 计明军. 考虑货主偏好的内支线集装箱班轮航线网络规划模型[J]. 交通运输工程学报, 2017, 17(3): 131-140.
引用本文: 杜剑, 赵旭, 计明军. 考虑货主偏好的内支线集装箱班轮航线网络规划模型[J]. 交通运输工程学报, 2017, 17(3): 131-140.
DU Jian, ZHAO Xu, JI Ming-jun. Planning model of feeder shipping network for container liners under considering shipper perference[J]. Journal of Traffic and Transportation Engineering, 2017, 17(3): 131-140.
Citation: DU Jian, ZHAO Xu, JI Ming-jun. Planning model of feeder shipping network for container liners under considering shipper perference[J]. Journal of Traffic and Transportation Engineering, 2017, 17(3): 131-140.

考虑货主偏好的内支线集装箱班轮航线网络规划模型

基金项目: 

国家自然科学基金项目 71572022

国家自然科学基金项目 61473053

交通运输部软科学研究项目 2015332225470

教育部哲学社会科学研究重大课题攻关项目 13JZDH040

详细信息
    作者简介:

    杜剑(1991-), 男, 辽宁朝阳人, 大连海事大学工学博士研究生, 从事交通运输规划与管理研究

    赵旭(1967-), 女, 辽宁大连人, 大连海事大学教授, 工学博士

  • 中图分类号: U692.31

Planning model of feeder shipping network for container liners under considering shipper perference

More Information
  • 摘要: 为了增加内支线集装箱班轮航线网络的货运需求量, 以最大船型限制、航线运营补贴与干支线配合为约束条件, 以航线网络结构、适配船型与班期密度为决策变量, 构建了考虑货主偏好的集装箱内支线班轮航线网络规划模型; 为了评估规划航线对不同偏好货主的吸引力, 在获得航线的集装箱运输时间与价格后, 基于Logit模型计算了规划航线与市场现有航线的货主选择比例; 设计了求解模型的智能启发式算法, 在规划方案评价过程中计算了航次时间、航线成本、单箱运价与货运需求, 在方案改善过程中调整了航线的挂靠港口与挂靠顺序; 设定大连港为干线港口, 渤海湾内12个港口为支线港口, 规划了内支线集装箱班轮航线网络。计算结果表明: 12个支线港共开设了7条航线, 市场货运总需求为5 208TEU, 规划航线的货运需求量为4 420TEU; 规划航线的货主选择比例达到85%;无论货主偏好运输时间或成本, 规划航线在各支线港的货主选择比例皆超过60%。可见, 考虑货主偏好的内支线班轮航线网络规划模型是有效的; 开设直达航线有助于吸引时间偏好货主; 开设串挂航线与提高运营补贴有助于吸引成本偏好货主; 采用货主选择过程代替到港时间窗约束会提升模型优化效果。

     

  • 图  1  航线网络结构的编码示例

    Figure  1.  Code example for shipping network structure

    图  2  算法流程

    Figure  2.  Algorithm flow chart

    图  3  航线网络结构

    Figure  3.  Route network structure

    图  4  最优评价值的改善曲线

    Figure  4.  Improvement curve of optimal value

    图  5  评价均值的改善曲线

    Figure  5.  Improvement curve of evaluation mean value

    表  1  特征船型参数

    Table  1.   Parameters of typical ships

    下载: 导出CSV

    表  2  任意两港口间直达航线里程

    Table  2.   Direct route mileage between any two ports

    下载: 导出CSV

    表  3  现有航线参数

    Table  3.   Parameters of existing routes

    下载: 导出CSV

    表  4  航线网络规划模型的计算结果

    Table  4.   Calculation results by route network planning model

    下载: 导出CSV

    表  5  不同时间偏好系数下的计算结果

    Table  5.   Calculation results under different time preference coefficients

    下载: 导出CSV

    表  6  不同成本偏好系数下的计算结果

    Table  6.   Calculation results under different cost preference coefficients

    下载: 导出CSV

    表  7  不同运营补贴下的计算结果

    Table  7.   Calculation results under different operating subsidies

    下载: 导出CSV

    表  8  成本偏好下的计算结果

    Table  8.   Calculation results under cost preference

    下载: 导出CSV

    表  9  时间偏好下的计算结果

    Table  9.   Calculation results under time preference

    下载: 导出CSV
  • [1] KARLAFTIS M G, KEPAPTSOGLOU K, SAMBRACOS E. Containership routing with time deadlines and simultaneous deliveries and pick-ups[J]. Transportation Research Part E: Logistics and Transportation Review, 2009, 45 (1): 210-221. doi: 10.1016/j.tre.2008.05.001
    [2] TRAN N K, HAASIS H D. Literature survey of network optimization in container liner shipping[J]. Flexible Services and Manufacturing Journal, 2015, 27 (2/3): 139-179.
    [3] SONG Dong-ping, DONG Jing-xin. Long-haul liner service route design with ship deployment and empty container repositioning[J]. Transportation Research Part B: Methodological, 2013, 55 (9): 188-211.
    [4] LO H K, AN Kun, LIN Wei-hua. Ferry service network design under demand uncertainty[J]. Transportation Research Part E: Logistics and Transportation Review, 2013, 59: 48-70. doi: 10.1016/j.tre.2013.08.004
    [5] WANG Shuai-an, MENG Qiang. Liner shipping network design with deadlines[J]. Computers and Operations Research, 2014, 41 (1): 140-149.
    [6] ZHENG Jian-feng, MENG Qiang, SUN Zhuo. Impact analysis of maritime cabotage legislations on liner hub-and-spoke shipping network design[J]. European Journal of Operational Research, 2014, 234 (3): 874-884. doi: 10.1016/j.ejor.2013.10.045
    [7] JI Ming-jun, SHEN Li-xin, SHI Bai-shun, et al. Routing optimization for multi-type containerships in a hub-and-spoke network[J]. Journal of Traffic and Transportation Engineering: English Edition, 2015, 2 (5): 362-372. doi: 10.1016/j.jtte.2015.08.008
    [8] KEPAPTSOGLOU K, FOUNTAS G, KARLAFTIS M G. Weather impact on containership routing in closed seas: A chance-constraint optimization approach[J]. Transportation Research Part C: Emerging Technologies, 2015, 55: 139-155. doi: 10.1016/j.trc.2015.01.027
    [9] KARSTEN C V, PISINGER D, ROPKE S, et al. The time constrained multi-commodity network flow problem and its application to liner shipping network design[J]. Transportation Research Part E: Logistics and Transportation Review, 2015, 76: 122-138. doi: 10.1016/j.tre.2015.01.005
    [10] LEE C Y, LEE H L, ZHANG Ji-heng. The impact of slow ocean steaming on delivery reliability and fuel consumption[J]. Transportation Research Part E: Logistics and Transportation Review, 2015, 76: 176-190. doi: 10.1016/j.tre.2015.02.004
    [11] 殷明, 时恒, 金甲焕. 集装箱班轮公司航次运力销售过程优化模型[J]. 交通运输工程学报, 2015, 15 (2): 79-89. doi: 10.3969/j.issn.1671-1637.2015.02.011

    YIN Ming, SHI Heng, KIM K H. Sales process optimization model of voyage capacity for container line[J]. Journal of Traffic and Transportation Engineering, 2015, 15 (2): 79-89. (in Chinese). doi: 10.3969/j.issn.1671-1637.2015.02.011
    [12] GELAREH S, NICKEL S, PISINGER D. Liner shipping hub network design in a competitive environment[J]. Transportation Research Part E: Logistics and Transportation Review, 2010, 46 (6): 991-1004. doi: 10.1016/j.tre.2010.05.005
    [13] KASHIHA M, THILL J C, DEPKEN C A. Shipping route choice across geographies: coastal vs. landlocked countries[J]. Transportation Research Part E: Logistics and Transportation Review, 2016, 91: 1-14. doi: 10.1016/j.tre.2016.03.012
    [14] EISELT H A, MARIANOV V. A conditional p-hub location problem with attraction functions[J]. Computers and Operations Research, 2009, 36 (12): 3128-3135. doi: 10.1016/j.cor.2008.11.014
    [15] CHEN Rong-ying, DONG Jing-xin, LEE C Y. Pricing and competition in a shipping market with waste shipments and empty container repositioning[J]. Transportation Research Part B: Methodological, 2016, 85: 32-55. doi: 10.1016/j.trb.2015.12.0121016/j.tre.2013.05.006
    [16] AN K, LO H K. Ferry service network design with stochastic demand under user equilibrium flows[J]. Transportation Research Part B: Methodological, 2014, 66: 70-89. doi: 10.1016/j.trb.2013.10.008
    [17] CHEN Kang, YANG Zhong-zhen, NOTTEBOOM T. The design of coastal shipping services subject to carbon emission reduction targets and state subsidy levels[J]. Transportation Research Part E: Logistics and Transportation Review, 2014, 61 (1): 192-211.
    [18] LEE H, LEE K D, CHOO S. The effects of the emission cost on route choices of international container ships[J]. Mathematical Problems in Engineering, 2016, 2016: 1-13.
    [19] WANG Shuai-an, MENG Qiang. Reversing port rotation directions in a container liner shipping network[J]. Transportation Research Part B: Methodological, 2013, 50 (5): 61-73.
    [20] WANG Hua, MENG Qiang, ZHANG Xiao-ning. Gametheoretical models for competition analysis in a new emerging liner container shipping market[J]. Transportation Research Part B: Methodological, 2014, 70: 201-227. doi: 10.1016/j.trb.2014.09.006
    [21] WANG Hua, WANG Shuai-an, MENG Qiang. Simultaneous optimization of schedule coordination and cargo allocation for liner container shipping networks[J]. Transportation Research Part E: Logistics and Transportation Review, 2014, 70 (1): 261-273.
    [22] WANG Shuai-an, WANG Hua, MENG Qiang. Itinerary provision and pricing in container liner shipping revenue management[J]. Transportation Research Part E: Logistics and Transportation Review, 2015, 77: 135-146. doi: 10.1016/j.tre.2014.06.020
    [23] AGARWAL R, ERGUN O. 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
    [24] BROUER B D, DIRKSEN J, PISINGER D, et al. The vessel schedule recovery problem (VSRP) -a MIP model for handling disruptions in liner shipping[J]. European Journal of Operational Research, 2013, 224 (2): 362-374. doi: 10.1016/j.ejor.2012.08.016
    [25] BROUER B D, ALVAREZ J F, PLUM C E M, et al. A base integer programming model and benchmark suite for linear-shipping network design[J]. Transportation Science, 2014, 48 (2): 281-312. doi: 10.1287/trsc.2013.0471
  • 加载中
图(5) / 表(9)
计量
  • 文章访问数:  501
  • HTML全文浏览量:  72
  • PDF下载量:  631
  • 被引次数: 0
出版历程
  • 收稿日期:  2016-11-27
  • 刊出日期:  2017-06-25

目录

    /

    返回文章
    返回