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The profit maximizing liner shipping problem with flexible frequencies: logistical and environmental considerations

Author

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  • Massimo Giovannini

    (Università degli studi di Padova)

  • Harilaos N. Psaraftis

    (Technical University of Denmark)

Abstract

The literature on liner shipping includes many models on containership speed optimization, fleet deployment, fleet size and mix, network design and other problem variants and combinations. Many of these models, and in fact most models at the tactical planning level, assume a fixed revenue for the ship operator and as a result they typically minimize costs. This treatment does not capture a fundamental characteristic of shipping market behavior, that ships tend to speed up in periods of high freight rates and slow down in depressed market conditions. This paper develops a simple model for a fixed route scenario which, among other things, incorporates the influence of freight rates, along with that of fuel prices and cargo inventory costs into the overall decision process. The objective to be maximized is the line’s average daily profit. Departing from convention, the model is also able to consider flexible service frequencies, to be selected from a broader set than the standard assumption of one call per week. It is shown that this may lead to better solutions and that the cost of forcing a fixed frequency can be significant. Such cost is attributed either to additional fuel cost if the fleet is forced to sail faster to accommodate a frequency that is higher than the optimal one, or to lost income if the opposite is the case. The impact of the line’s decisions on CO2 emissions is also examined and illustrative runs of the model are made on three existing services.

Suggested Citation

  • Massimo Giovannini & Harilaos N. Psaraftis, 2019. "The profit maximizing liner shipping problem with flexible frequencies: logistical and environmental considerations," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 567-597, September.
  • Handle: RePEc:spr:flsman:v:31:y:2019:i:3:d:10.1007_s10696-018-9308-z
    DOI: 10.1007/s10696-018-9308-z
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    References listed on IDEAS

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    Cited by:

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    2. Gam Thi Hong Nguyen & Daria Ruzaeva & Julio Cesar Góez & Mario Guajardo, 2022. "Insights on the introduction of autonomous vessels to liner shipping networks," Journal of Shipping and Trade, Springer, vol. 7(1), pages 1-27, December.
    3. Junayed Pasha & Maxim A. Dulebenets & Masoud Kavoosi & Olumide F. Abioye & Oluwatosin Theophilus & Hui Wang & Raphael Kampmann & Weihong Guo, 2020. "Holistic tactical-level planning in liner shipping: an exact optimization approach," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-35, December.
    4. Ksciuk, Jana & Kuhlemann, Stefan & Tierney, Kevin & Koberstein, Achim, 2023. "Uncertainty in maritime ship routing and scheduling: A Literature review," European Journal of Operational Research, Elsevier, vol. 308(2), pages 499-524.
    5. Wang, Yadong & Wang, Shuaian, 2021. "Deploying, scheduling, and sequencing heterogeneous vessels in a liner container shipping route," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    6. Chen, Dongxu & Peng, Sufan & Lian, Feng & Yang, Zhongzhen, 2023. "Optimization of a Japan-Europe multimodal transportation corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    7. Xing, Hui & Spence, Stephen & Chen, Hua, 2020. "A comprehensive review on countermeasures for CO2 emissions from ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).

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