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Greening of maritime transportation: a multi-objective optimization approach

Author

Listed:
  • Ali Cheaitou

    (University of Sharjah)

  • Pierre Cariou

    (Kedge Business School)

Abstract

This article is motivated by growing concerns related to shipping $$\hbox {CO}_{2}$$ CO 2 and $$\hbox {SO}_{\mathrm{x}}$$ SO x emissions in the hope that ship operators further consider the environmental impacts of their activities when attempting to maximize profit. The article proposes a liner shipping multi-objective optimization (MOO) model based on profit maximization, $$\hbox {CO}_{2}$$ CO 2 emissions minimization, and $$\hbox {SO}_{\mathrm{x}}$$ SO x emissions minimization for which all objective functions are a function of vessel sailing speed. Two demand configurations are considered: elastic and inelastic. The MOO model is solved using three different methods and is applied to two liner services deployed on the trans-Pacific and Europe–Far East markets. A single-objective optimization approach is also proposed in which the monetary value of the emissions is considered in an objective function. The main conclusion of the article is that the sensitivity of demand to transit time is based on the gap between economic and environmental optimal solutions and that policies considering imposing a tax on $$\hbox {CO}_{2}$$ CO 2 or $$\hbox {SO}_{\mathrm{x}}$$ SO x to reduce the negative externalities from international shipping should account for this element.

Suggested Citation

  • Ali Cheaitou & Pierre Cariou, 2019. "Greening of maritime transportation: a multi-objective optimization approach," Annals of Operations Research, Springer, vol. 273(1), pages 501-525, February.
  • Handle: RePEc:spr:annopr:v:273:y:2019:i:1:d:10.1007_s10479-018-2786-2
    DOI: 10.1007/s10479-018-2786-2
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    References listed on IDEAS

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    Cited by:

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    2. Vishal Kashav & Chandra Prakash Garg & Rupesh Kumar, 2023. "Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment," Annals of Operations Research, Springer, vol. 324(1), pages 1223-1268, May.
    3. Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Masoud Kavoosi, 2021. "Vessel scheduling in liner shipping: a critical literature review and future research needs," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 43-106, March.
    4. Yuzhe Zhao & Yujun Fan & Jingmiao Zhou & Haibo Kuang, 2019. "Bi-Objective Optimization of Vessel Speed and Route for Sustainable Coastal Shipping under the Regulations of Emission Control Areas," Sustainability, MDPI, vol. 11(22), pages 1-24, November.
    5. 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.
    6. 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).
    7. Zheng, Jianfeng & Zhang, Wenlong & Qi, Jingwen & Wang, Shuaian, 2019. "Canal effects on a liner hub location problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 230-247.

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