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Vessel scheduling in liner shipping: Modeling transport of perishable assets

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  • Dulebenets, Maxim A.
  • Ozguven, Eren Erman

Abstract

International seaborne containerized trade significantly increased over the last years. Some assets transported in a containerized form by vessels are perishable in nature. Perishable assets deteriorate due to certain operational and environmental factors. This paper proposes a novel mixed integer non-linear mathematical model for the vessel scheduling problem in a liner shipping route with perishable assets, which explicitly captures decay of perishable assets on board the vessels. The objective aims to minimize the total route service cost, including the asset decay cost. The original non-linear mathematical model is linearized using a set of piecewise linear secant approximations. CPLEX is used to solve the linearized mathematical model. Numerical experiments are conducted for the French Asia Line 1 route, served by CMA CGM liner shipping company, to evaluate performance of the suggested solution approach and reveal some important managerial insights. Results demonstrate that the developed mathematical model can serve as an effective planning tool for liner shipping companies in designing efficient vessel schedules and reducing decay of perishable assets on board the vessels.

Suggested Citation

  • Dulebenets, Maxim A. & Ozguven, Eren Erman, 2017. "Vessel scheduling in liner shipping: Modeling transport of perishable assets," International Journal of Production Economics, Elsevier, vol. 184(C), pages 141-156.
    • Handle: RePEc:eee:proeco:v:184:y:2017:i:c:p:141-156
    DOI: 10.1016/j.ijpe.2016.11.011
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    Cited by:

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    2. 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.
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    5. Feng Yang & Zhong Wu & Xiaoyan Teng & Shaojian Qu, 2022. "Robust Counterpart Models for Fresh Agricultural Product Routing Planning Considering Carbon Emissions and Uncertainty," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
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    9. Thalis P. V. Zis & Harilaos N. Psaraftis, 2022. "Impacts of short-term measures to decarbonize maritime transport on perishable cargoes," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(3), pages 602-629, September.
    10. 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.
    11. Olumide F. Abioye & Maxim A. Dulebenets & Junayed Pasha & Masoud Kavoosi, 2019. "A Vessel Schedule Recovery Problem at the Liner Shipping Route with Emission Control Areas," Energies, MDPI, vol. 12(12), pages 1-28, June.
    12. 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.
    13. Dulebenets, Maxim A., 2018. "A comprehensive multi-objective optimization model for the vessel scheduling problem in liner shipping," International Journal of Production Economics, Elsevier, vol. 196(C), pages 293-318.
    14. Yang, Liu & Liu, Kanglin & Zhang, Juan & Zelbst, Pamela J., 2024. "Inventory management with actual palletized transportation costs and lost sales," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
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    16. Du, Jiaoman & Zhou, Jiandong & Li, Xiang & Li, Lei & Guo, Ao, 2021. "Integrated self-driving travel scheme planning," International Journal of Production Economics, Elsevier, vol. 232(C).

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