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Revisiting a class of liner fleet deployment models

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  • Ng, ManWo

Abstract

A class of liner fleet deployment models in the literature is revisited. We point to an implicit (and unnecessary) assumption in this class of models that can lead to fleet deployment plans that employ more vessels than strictly necessary. New analytical results are derived to relax this assumption, leading to a new and more realistic liner fleet deployment model. In a case study, it is found that the new model can lead to a substantial reduction in the fleet deployment cost, up to 15 percent. Moreover, it is observed that the new model is particularly timely in the current era where vessel sharing agreements and mega vessels are the norm, as the cost savings grow with the vessel size.

Suggested Citation

  • Ng, ManWo, 2017. "Revisiting a class of liner fleet deployment models," European Journal of Operational Research, Elsevier, vol. 257(3), pages 773-776.
    • Handle: RePEc:eee:ejores:v:257:y:2017:i:3:p:773-776
    DOI: 10.1016/j.ejor.2016.07.044
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    References listed on IDEAS

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    1. 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.
    2. Qiang Meng & Tingsong Wang, 2010. "A chance constrained programming model for short-term liner ship fleet planning problems," Maritime Policy & Management, Taylor & Francis Journals, vol. 37(4), pages 329-346, July.
    3. Ng, ManWo, 2014. "Distribution-free vessel deployment for liner shipping," European Journal of Operational Research, Elsevier, vol. 238(3), pages 858-862.
    4. Mulder, Judith & Dekker, Rommert, 2014. "Methods for strategic liner shipping network design," European Journal of Operational Research, Elsevier, vol. 235(2), pages 367-377.
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    7. Meng, Qiang & Wang, Tingsong & Wang, Shuaian, 2012. "Short-term liner ship fleet planning with container transshipment and uncertain container shipment demand," European Journal of Operational Research, Elsevier, vol. 223(1), pages 96-105.
    8. Lin, Dung-Ying & Tsai, Yu-Yun, 2014. "The ship routing and freight assignment problem for daily frequency operation of maritime liner shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 52-70.
    9. Ng, ManWo, 2015. "Container vessel fleet deployment for liner shipping with stochastic dependencies in shipping demand," Transportation Research Part B: Methodological, Elsevier, vol. 74(C), pages 79-87.
    10. Wang, Tingsong & Meng, Qiang & Wang, Shuaian & Tan, Zhijia, 2013. "Risk management in liner ship fleet deployment: A joint chance constrained programming model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 60(C), pages 1-12.
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    Cited by:

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    6. Obstfeld, Maurice, 2021. "Reprint: Two challenges from globalization," Journal of International Money and Finance, Elsevier, vol. 114(C).
    7. Ng, ManWo & Lin, Dung-Ying, 2018. "Fleet deployment in liner shipping with incomplete demand information," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 184-189.
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    9. Jeong, Yoonjea & Saha, Subrata & Chatterjee, Debajyoti & Moon, Ilkyeong, 2018. "Direct shipping service routes with an empty container management strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 123-142.

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