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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

    as
    1. Endre Boros & Lei Lei & Yao Zhao & Hua Zhong, 2008. "Scheduling vessels and container-yard operations with conflicting objectives," Annals of Operations Research, Springer, vol. 161(1), pages 149-170, July.
    2. Sheng, Xiaoming & Chew, Ek Peng & Lee, Loo Hay, 2015. "(s,S) policy model for liner shipping refueling and sailing speed optimization problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 76(C), pages 76-92.
    3. K Fagerholt & G Laporte & I Norstad, 2010. "Reducing fuel emissions by optimizing speed on shipping routes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(3), pages 523-529, March.
    4. Liotta, Giacomo & Stecca, Giuseppe & Kaihara, Toshiya, 2015. "Optimisation of freight flows and sourcing in sustainable production and transportation networks," International Journal of Production Economics, Elsevier, vol. 164(C), pages 351-365.
    5. Ali Cheaitou & Pierre Cariou, 2012. "Liner shipping service optimisation with reefer containers capacity: an application to northern Europe--South America trade," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(6), pages 589-602, November.
    6. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2014. "The bi-objective Pollution-Routing Problem," European Journal of Operational Research, Elsevier, vol. 232(3), pages 464-478.
    7. D Ronen, 2011. "The effect of oil price on containership speed and fleet size," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 211-216, January.
    8. Y Bouchery & Jan C Fransoo, 2015. "Cost, carbon emissions and modal shift in intermodal network design decisions," Post-Print hal-01954452, HAL.
    9. Pierre Cariou & Ali Cheaitou, 2014. "Cascading effects, network configurations and optimal transshipment volumes in liner shipping," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 16(3), pages 321-342, September.
    10. Bouchery, Yann & Fransoo, Jan, 2015. "Cost, carbon emissions and modal shift in intermodal network design decisions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 388-399.
    11. Jianping Li & Xiaolei Sun & Fei Wang & Dengsheng Wu, 2015. "Risk integration and optimization of oil-importing maritime system: a multi-objective programming approach," Annals of Operations Research, Springer, vol. 234(1), pages 57-76, November.
    12. Wong, Eugene Y.C. & Tai, Allen H. & Lau, Henry Y.K. & Raman, Mardjuki, 2015. "An utility-based decision support sustainability model in slow steaming maritime operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 78(C), pages 57-69.
    13. Tang, Shaolong & Wang, Wenjie & Yan, Hong & Hao, Gang, 2015. "Low carbon logistics: Reducing shipment frequency to cut carbon emissions," International Journal of Production Economics, Elsevier, vol. 164(C), pages 339-350.
    14. Mansouri, S. Afshin & Lee, Habin & Aluko, Oluwakayode, 2015. "Multi-objective decision support to enhance environmental sustainability in maritime shipping: A review and future directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 78(C), pages 3-18.
    15. Wang, Shuaian & Meng, Qiang, 2015. "Robust bunker management for liner shipping networks," European Journal of Operational Research, Elsevier, vol. 243(3), pages 789-797.
    16. Nieuwenhuis, Paul & Beresford, Anthony & Choi, Andrew Ki-Young, 2012. "Shipping or local production? CO2 impact of a strategic decision: An automotive industry case study," International Journal of Production Economics, Elsevier, vol. 140(1), pages 138-148.
    17. Notteboom, Theo E. & Vernimmen, Bert, 2009. "The effect of high fuel costs on liner service configuration in container shipping," Journal of Transport Geography, Elsevier, vol. 17(5), pages 325-337.
    18. Wang, Shuaian & Meng, Qiang, 2012. "Sailing speed optimization for container ships in a liner shipping network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 701-714.
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    Cited by:

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    2. 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.
    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. Zhuzhu Song & Wansheng Tang & Ruiqing Zhao, 2022. "Implications of economies of scale and scope for round-trip shipping canvassing with empty container repositioning," Annals of Operations Research, Springer, vol. 309(2), pages 485-515, February.
    5. 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.
    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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