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A Vessel Schedule Recovery Problem at the Liner Shipping Route with Emission Control Areas

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  • Olumide F. Abioye

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, 2525 Pottsdamer Street, Building B, Suite B339, Tallahassee, FL 32310-6046, USA)

  • Maxim A. Dulebenets

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, 2525 Pottsdamer Street, Building A, Suite A124, Tallahassee, FL 32310-6046, USA)

  • Junayed Pasha

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, 2525 Pottsdamer Street, Building B, Suite B339, Tallahassee, FL 32310-6046, USA)

  • Masoud Kavoosi

    (Department of Civil & Environmental Engineering, Florida A&M University-Florida State University, 2525 Pottsdamer Street, Building B, Suite B339, Tallahassee, FL 32310-6046, USA)

Abstract

Liner shipping is a vital component of the world trade. Liner shipping companies usually operate fixed routes and announce their schedules. However, disruptions in sea and/or at ports affect the planned vessel schedules. Moreover, some liner shipping routes pass through the areas, designated by the International Maritime Organization (IMO) as emission control areas (ECAs). IMO imposes restrictions on the type of fuel that can be used by vessels within ECAs. The vessel schedule recovery problem becomes more complex when disruptions occur at such liner shipping routes, as liner shipping companies must comply with the IMO regulations. This study presents a novel mixed-integer nonlinear mathematical model for the green vessel schedule recovery problem, which considers two recovery strategies, including vessel sailing speed adjustment and port skipping. The objective aims to minimize the total profit loss, endured by a given liner shipping company due to disruptions in the planned operations. The nonlinear model is linearized and solved using CPLEX. A number of computational experiments are conducted for the liner shipping route, passing through ECAs. Important managerial insights reveal that the proposed methodology can assist liner shipping companies with efficient vessel schedule recovery, minimize the monetary losses due to disruptions in vessel schedules, and improve energy efficiency as well as environmental sustainability.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:12:p:2380-:d:241706
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    1. 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.
    2. Asghari, Mohammad & Jaber, Mohamad Y. & Mirzapour Al-e-hashem, S.M.J., 2023. "Coordinating vessel recovery actions: Analysis of disruption management in a liner shipping service," European Journal of Operational Research, Elsevier, vol. 307(2), pages 627-644.
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    4. Jaeung Cha & Jinwoo Lee & Changhee Lee & Yulseong Kim, 2021. "Legal Disputes under Time Charter in Connection with the Stranding of the MV Ever Given," Sustainability, MDPI, vol. 13(19), pages 1-25, September.
    5. Jiajun Shen & Guangchuan Yang, 2020. "Crash Risk Assessment for Heterogeneity Traffic and Different Vehicle-Following Patterns Using Microscopic Traffic Flow Data," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    6. Zhaolin Cheng & Laijun Zhao & Huiyong Li, 2020. "A Transportation Network Paradox: Consideration of Travel Time and Health Damage due to Pollution," Sustainability, MDPI, vol. 12(19), pages 1-22, October.
    7. Mohamed Ali Kammoun & Sadok Turki & Nidhal Rezg, 2020. "Optimization of Flight Rescheduling Problem under Carbon Tax," Sustainability, MDPI, vol. 12(14), pages 1-19, July.
    8. Nestor Goicoechea & Luis María Abadie, 2021. "Optimal Slow Steaming Speed for Container Ships under the EU Emission Trading System," Energies, MDPI, vol. 14(22), pages 1-25, November.
    9. 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.
    10. Marek Drliciak & Jan Celko & Michal Cingel & Dusan Jandacka, 2020. "Traffic Volumes as a Modal Split Parameter," Sustainability, MDPI, vol. 12(24), pages 1-21, December.
    11. Ramon Sanchez-Iborra & Luis Bernal-Escobedo & José Santa, 2020. "Eco-Efficient Mobility in Smart City Scenarios," Sustainability, MDPI, vol. 12(20), pages 1-15, October.
    12. Archetti, Claudia & Peirano, Lorenzo & Speranza, M. Grazia, 2022. "Optimization in multimodal freight transportation problems: A Survey," European Journal of Operational Research, Elsevier, vol. 299(1), pages 1-20.
    13. Antonio Martínez Raya & Víctor M. González-Sánchez, 2021. "Efficiency and Sustainability of Regional Aviation on Insular Territories of the European Union: A Case Study of Public Service Obligations on Scheduled Air Routes among the Balearic Islands," Sustainability, MDPI, vol. 13(7), pages 1-31, April.
    14. Masoud Kavoosi & Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Ren Moses & John Sobanjo & Eren E. Ozguven, 2020. "Development of Algorithms for Effective Resource Allocation among Highway–Rail Grade Crossings: A Case Study for the State of Florida," Energies, MDPI, vol. 13(6), pages 1-28, March.
    15. Ana María Peco Chacón & Isaac Segovia Ramírez & Fausto Pedro García Márquez, 2020. "False Alarms Analysis of Wind Turbine Bearing System," Sustainability, MDPI, vol. 12(19), pages 1-11, September.

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