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Ship Scheduling and Cost Analysis for Route Planning in Liner Shipping

Author

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  • Shih-Chan Ting

    (Department of Shipping and Logistics Management, College of Management, Kai Nai University, No.1, Kainan Road, Shinshing Tsuen, Luchu Shiang, Taoyuang 338, Taiwan, ROC.)

  • Gwo-Hshiung Tzeng

    (Institute of Technology Management, College of Management, National Chiao Tung University, 1001, Ta-Hsueh Road, Hsinchu 300, Taiwan, ROC.)

Abstract

Liner shipping companies can benefit significantly by improving ship scheduling and cost analysis in service route planning by systematic methods. This paper proposes a dynamic programming (DP) model for ship scheduling and identifies cost items relevant to the planning of a service route, which can help planners make better scheduling decisions under berth time-window constraints, as well as estimate more accurately voyage fixed costs and freight variable costs in liner service route planning. The proposed model pursues an optimal scheduling strategy including cruising speed and quay crane dispatching decisions, vis à vis tentative and rough schedule arrangements. Additionally, the model can be extended to cases of integrating one company’s – or strategic alliance – partners’ service networks, in order to gain more efficient hub-and-spoke operations, tighter transshipment and better level-of-service. Maritime Economics & Logistics (2003) 5, 378–392. doi:10.1057/palgrave.mel.9100087

Suggested Citation

  • Shih-Chan Ting & Gwo-Hshiung Tzeng, 2003. "Ship Scheduling and Cost Analysis for Route Planning in Liner Shipping," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 5(4), pages 378-392, December.
  • Handle: RePEc:pal:marecl:v:5:y:2003:i:4:p:378-392
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    Citations

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    Cited by:

    1. Y. H. Venus Lun & Kee‐Hung Lai & T. C. Edwin Cheng, 2008. "A Descriptive Framework for the Development and Operation of Liner Shipping Networks," Transport Reviews, Taylor & Francis Journals, vol. 29(4), pages 439-457, August.
    2. Tran, Nguyen Khoi, 2011. "Studying port selection on liner routes: An approach from logistics perspective," Research in Transportation Economics, Elsevier, vol. 32(1), pages 39-53.
    3. Qi, Xiangtong & Song, Dong-Ping, 2012. "Minimizing fuel emissions by optimizing vessel schedules in liner shipping with uncertain port times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 863-880.
    4. Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Masoud Kavoosi, 2021. "Vessel scheduling in liner shipping: a critical literature review and future research needs," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 43-106, March.
    5. D Ronen, 2011. "The effect of oil price on containership speed and fleet size," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 211-216, January.
    6. Jasmine Lam, 2010. "An integrated approach for port selection, ship scheduling and financial analysis," Netnomics, Springer, vol. 11(1), pages 33-46, April.
    7. Qiang Meng & Shuaian Wang & Henrik Andersson & Kristian Thun, 2014. "Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions," Transportation Science, INFORMS, vol. 48(2), pages 265-280, May.
    8. Archetti, Claudia & Peirano, Lorenzo, 2020. "Air intermodal freight transportation: The freight forwarder service problem," Omega, Elsevier, vol. 94(C).
    9. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.
    10. Zhijia Tan & Yadong Wang & Qiang Meng & Zhixue Liu, 2018. "Joint Ship Schedule Design and Sailing Speed Optimization for a Single Inland Shipping Service with Uncertain Dam Transit Time," Service Science, INFORMS, vol. 52(6), pages 1570-1588, December.
    11. Wu, Wei-Ming, 2020. "The optimal speed in container shipping: Theory and empirical evidence," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    12. Lee, Chung-Yee & Lee, Hau L. & Zhang, Jiheng, 2015. "The impact of slow ocean steaming on delivery reliability and fuel consumption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 176-190.

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