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An optimal containership slot allocation for liner shipping revenue management

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  • Shin-Chan Ting *
  • Gwo-Hshiung Tzeng

Abstract

In the competitive liner shipping market, carriers may utilize revenue management systems to increase profits by using slot allocation and pricing. In this paper, related research on revenue management for transportation industries is reviewed. A conceptual model for liner shipping revenue management (LSRM) is proposed and a slot allocation model is formulated through mathematical programming to maximize freight contribution. We illustrate this slot allocation model with a case study of a Taiwan liner shipping company and the results show the applicability and better performances than the previous allocation used in practice.

Suggested Citation

  • Shin-Chan Ting * & Gwo-Hshiung Tzeng, 2004. "An optimal containership slot allocation for liner shipping revenue management," Maritime Policy & Management, Taylor & Francis Journals, vol. 31(3), pages 199-211, July.
    • Handle: RePEc:taf:marpmg:v:31:y:2004:i:3:p:199-211
    DOI: 10.1080/0308883032000209553
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    Cited by:

    1. 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).
    2. Wang, Yadong & Meng, Qiang & Du, Yuquan, 2015. "Liner container seasonal shipping revenue management," Transportation Research Part B: Methodological, Elsevier, vol. 82(C), pages 141-161.
    3. Wang, Tingsong & Meng, Qiang & Wang, Shuaian & Qu, Xiaobo, 2021. "A two-stage stochastic nonlinear integer-programming model for slot allocation of a liner container shipping service," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 143-160.
    4. Hua-An Lu & Wen-Hung Mu, 2016. "A slot reallocation model for containership schedule adjustment," Maritime Policy & Management, Taylor & Francis Journals, vol. 43(1), pages 136-157, January.
    5. Wang, Shuaian, 2015. "Optimal sequence of container ships in a string," European Journal of Operational Research, Elsevier, vol. 246(3), pages 850-857.
    6. Zhen, Lu & Wang, Shuaian & Zhuge, Dan, 2017. "Analysis of three container routing strategies," International Journal of Production Economics, Elsevier, vol. 193(C), pages 259-271.
    7. Wang, Hua & Wang, Shuaian & Meng, Qiang, 2014. "Simultaneous optimization of schedule coordination and cargo allocation for liner container shipping networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 261-273.
    8. Wang, Tingsong & Meng, Qiang & Tian, Xuecheng, 2024. "Dynamic container slot allocation for a liner shipping service," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    9. Wang, Yadong & Gu, Yuyun & Wang, Tingsong & Zhang, Jun, 2022. "A risk-averse approach for joint contract selection and slot allocation in liner container shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    10. Bin Qiao & Shenle Pan & Eric Ballot, 2016. "Less-than-truckload Dynamic Pricing Model in Physical Internet," Post-Print hal-01326416, HAL.
    11. Wang, Tingsong & Xing, Zheng & Hu, Hongtao & Qu, Xiaobo, 2019. "Overbooking and delivery-delay-allowed strategies for container slot allocation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 433-447.
    12. Wang, Tingsong & Tian, Xuecheng & Wang, Yadong, 2020. "Container slot allocation and dynamic pricing of time-sensitive cargoes considering port congestion and uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    13. Meng, Qiang & Zhao, Hui & Wang, Yadong, 2019. "Revenue management for container liner shipping services: Critical review and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 280-292.
    14. Bin Qiao & Shenle Pan & Eric Ballot, 2019. "Dynamic pricing model for less-than-truckload carriers in the Physical Internet," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2631-2643, October.
    15. 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.
    16. Manolis Kavussanos & Siri Pettersen Strandenes & Helen Thanopoulou, 2022. "Special issue: ends of eras and new beginnings: twenty-first century challenges for shipping," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 347-367, June.
    17. Sercan Erol, 2017. "Calculation of the freight revenues in Turkey-focused maritime transportation," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(7), pages 815-824, October.
    18. Byung Kwon Lee & Joyce M. W. Low, 2022. "A constraint programming approach to capacity planning in container vessels," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 415-438, June.

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