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Impact analysis of maritime cabotage legislations on liner hub-and-spoke shipping network design

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Listed author(s):
  • Zheng, Jianfeng
  • Meng, Qiang
  • Sun, Zhuo
Registered author(s):

    Abstract

    Maritime cabotage is a legislation published by a particular coastal country, which is used to conduct the cargo transportation between its two domestic ports. This paper proposes a two-phase mathematical programming model to formulate the liner hub-and-spoke shipping network design problem subject to the maritime cabotage legislations, i.e., the hub location and feeder allocation problem for phase I and the ship route design with ship fleet deployment problem for phase II. The problem in phase I is formulated as a mixed-integer linear programming model. By developing a hub port expanding technique, the problem in phase II is formulated as a vehicle routing problem with pickup and delivery. A Lagrangian relaxation based solution method is proposed to solve it. Numerical implementations based on the Asia–Europe–Oceania shipping services are carried out to account for the impact analysis of the maritime cabotage legislations on liner hub-and-spoke shipping network design problem.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0377221713008680
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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 234 (2014)
    Issue (Month): 3 ()
    Pages: 874-884

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    Handle: RePEc:eee:ejores:v:234:y:2014:i:3:p:874-884
    DOI: 10.1016/j.ejor.2013.10.045
    Contact details of provider: Web page: http://www.elsevier.com/locate/eor

    Keywords: Combinatorial optimization; Liner shipping; Hub-and-spoke; Maritime cabotage legislations;

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    Cited by:

    1. Sun, Zhuo & Zheng, Jianfeng, 2016. "Finding potential hub locations for liner shipping," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 750-761.
    2. Wang, Shuaian, 2016. "Fundamental properties and pseudo-polynomial-time algorithm for network containership sailing speed optimization," European Journal of Operational Research, Elsevier, vol. 250(1), pages 46-55.
    3. Gang Du & Chuanwang Sun & Jinxian Weng, 2016. "Liner Shipping Fleet Deployment with Sustainable Collaborative Transportation," Sustainability, MDPI, Open Access Journal, vol. 8(2), pages 1-15, February.
    4. Niknamfar, Amir Hossein & Niaki, Seyed Taghi Akhavan, 2016. "Fair profit contract for a carrier collaboration framework in a green hub network under soft time-windows: Dual lexicographic max–min approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 129-151.
    5. repec:gam:jsusta:v:8:y:2016:i:2:p:165:d:63716 is not listed on IDEAS
    6. Zheng, Jianfeng & Sun, Zhuo & Zhang, Fangjun, 2016. "Measuring the perceived container leasing prices in liner shipping network design with empty container repositioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 123-140.
    7. Wang, Shuaian & Liu, Zhiyuan & Meng, Qiang, 2015. "Segment-based alteration for container liner shipping network design," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 128-145.

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