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Itinerary provision and pricing in container liner shipping revenue management

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  • Wang, Shuaian
  • Wang, Hua
  • Meng, Qiang

Abstract

A shipping line may have more than one itinerary to transport containers from origin to destination. Customers choose which itinerary to use or using other shipping lines’ itinerary. We use the logit model to formulate customer’s behavior. We find that, on one side, when the freight rates of the itineraries are fixed, providing all itineraries to a customer may not maximize the shipping line’s profit. When the market share of the shipping line is low, more itineraries should be provided, and vice versa. On the other hand, when the freight rates of the itineraries could be optimized, all itineraries are provided for maximizing the expected profit. Models and algorithms are developed that determine the optimal subset of itineraries to provide with given freight rates, and the optimal freight rates when they could be adjusted.

Suggested Citation

  • Wang, Shuaian & Wang, Hua & Meng, Qiang, 2015. "Itinerary provision and pricing in container liner shipping revenue management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 135-146.
    • Handle: RePEc:eee:transe:v:77:y:2015:i:c:p:135-146
    DOI: 10.1016/j.tre.2014.06.020
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    References listed on IDEAS

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    7. Hoshi Tagawa & Tomoya Kawasaki & Shinya Hanaoka, 2021. "Conditions influencing the choice between direct shipment and transshipment in maritime shipping network," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-15, December.
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    9. Choi, Tsan-Ming & Chung, Sai-Ho & Zhuo, Xiaopo, 2020. "Pricing with risk sensitive competing container shipping lines: Will risk seeking do more good than harm?," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 210-229.
    10. Wang, Xinchang, 2016. "Optimal allocation of limited and random network resources to discrete stochastic demands for standardized cargo transportation networks," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 310-331.
    11. Sun, Qinghe & Li, Wei & Meng, Qiang, 2024. "Single-leg shipping revenue management for expedited services with ambiguous elasticity in transit-time-sensitive demand," Transportation Research Part B: Methodological, Elsevier, vol. 180(C).
    12. Wang, Kelly Yujie & Wen, Yuan & Yip, Tsz Leung & Fan, Zuojun, 2021. "Carrier-shipper risk management and coordination in the presence of spot freight market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
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