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A note on “Berth allocation considering fuel consumption and vessel emissions”

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  • Wang, Shuaian
  • Meng, Qiang
  • Liu, Zhiyuan

Abstract

Du et al. [Du, Y., Chen, Q., Quan, X., Long, L., Fung, R.Y.K., 2011. Berth allocation considering fuel consumption and vessel emissions. Transportation Research Part E 47, 1021–1037] dealt with a berth allocation problem incorporating ship’ fuel consumption minimization. To address the difficulty posed by the power function between fuel consumption rate and sailing speed, they formulated a tractable mixed-integer second-order cone programming model. We propose two quadratic outer approximation approaches that can handle general fuel consumption rate functions more efficiently. In the static quadratic outer approximation approach, the approximation lines are generated a priori. In the dynamic quadratic outer approximation approach, the approximation lines are generated dynamically. Numerical experiments demonstrate the advantages of the two approaches.

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  • Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "A note on “Berth allocation considering fuel consumption and vessel emissions”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 48-54.
  • Handle: RePEc:eee:transe:v:49:y:2013:i:1:p:48-54
    DOI: 10.1016/j.tre.2012.07.002
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    References listed on IDEAS

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    1. Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2008. "Berthing ships at a multi-user container terminal with a limited quay capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(1), pages 136-151, January.
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    3. Du, Yuquan & Chen, Qiushuang & Quan, Xiongwen & Long, Lei & Fung, Richard Y.K., 2011. "Berth allocation considering fuel consumption and vessel emissions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1021-1037.
    4. Imai, Akio & Chen, Hsieh Chia & Nishimura, Etsuko & Papadimitriou, Stratos, 2008. "The simultaneous berth and quay crane allocation problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(5), pages 900-920, September.
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    8. Lu Zhen & Ek Peng Chew & Loo Hay Lee, 2011. "An Integrated Model for Berth Template and Yard Template Planning in Transshipment Hubs," Transportation Science, INFORMS, vol. 45(4), pages 483-504, November.
    9. Golias, Mihalis M. & Boile, Maria & Theofanis, Sotirios, 2009. "Berth scheduling by customer service differentiation: A multi-objective approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(6), pages 878-892, November.
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    14. Chang, Daofang & Jiang, Zuhua & Yan, Wei & He, Junliang, 2010. "Integrating berth allocation and quay crane assignments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(6), pages 975-990, November.
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    5. Wang, Shuaian & Meng, Qiang & Liu, Zhiyuan, 2013. "Bunker consumption optimization methods in shipping: A critical review and extensions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 53(C), pages 49-62.
    6. Zhen, Lu, 2015. "Tactical berth allocation under uncertainty," European Journal of Operational Research, Elsevier, vol. 247(3), pages 928-944.
    7. 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.
    8. 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.

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