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Fleet deployment in liner shipping with incomplete demand information

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  • Ng, ManWo
  • Lin, Dung-Ying

Abstract

This paper examines the liner fleet deployment problem when only conditional shipping demand information is known. For such a case, it is generally not possible to determine the exact optimal solution. A set of complementary upper and lower bounds on the optimal cost are derived by exploiting the problem structure. These bounds are explicitly shown to converge to the optimal cost when a sufficiently refined partition is available. A numerical example illustrates the model.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:transe:v:116:y:2018:i:c:p:184-189
    DOI: 10.1016/j.tre.2018.06.004
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    References listed on IDEAS

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    1. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship fleet deployment with container transshipment operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 470-484.
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    3. Kai Wang & Weiwei Liu & Shuaian Wang & Zhiyuan Liu, 2017. "Optimal reefer slot conversion for container freight transportation," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(6), pages 727-743, August.
    4. Ng, ManWo, 2014. "Distribution-free vessel deployment for liner shipping," European Journal of Operational Research, Elsevier, vol. 238(3), pages 858-862.
    5. Mulder, Judith & Dekker, Rommert, 2014. "Methods for strategic liner shipping network design," European Journal of Operational Research, Elsevier, vol. 235(2), pages 367-377.
    6. Ng, ManWo, 2017. "Revisiting a class of liner fleet deployment models," European Journal of Operational Research, Elsevier, vol. 257(3), pages 773-776.
    7. Pantuso, Giovanni & Fagerholt, Kjetil & Hvattum, Lars Magnus, 2014. "A survey on maritime fleet size and mix problems," European Journal of Operational Research, Elsevier, vol. 235(2), pages 341-349.
    8. 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.
    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. Meng, Qiang & Wang, Shuaian, 2012. "Liner ship fleet deployment with week-dependent container shipment demand," European Journal of Operational Research, Elsevier, vol. 222(2), pages 241-252.
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    Citations

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    Cited by:

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    5. Zhao, Yue & Chen, Zhi & Lim, Andrew & Zhang, Zhenzhen, 2022. "Vessel deployment with limited information: Distributionally robust chance constrained models," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 197-217.
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    8. Lai, Xiaofan & Wu, Lingxiao & Wang, Kai & Wang, Fan, 2022. "Robust ship fleet deployment with shipping revenue management," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 169-196.

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