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Berth scheduling by customer service differentiation: A multi-objective approach

Author

Listed:
  • Golias, Mihalis M.
  • Boile, Maria
  • Theofanis, Sotirios

Abstract

In this paper the discrete and dynamic berth allocation problem is formulated as a multi-objective combinatorial optimization problem where vessel service is differentiated upon based on priority agreements. A genetic algorithms based heuristic is developed to solve the resulting problem. A number of numerical experiments showed that the heuristic performed well in solving large, real life instances. The heuristic provided a complete set of solutions that enable terminal operators to evaluate various berth scheduling policies and select the schedule that improves operations and customer satisfaction. The proposed algorithm outperformed a state of the art metaheuristic and provided improved results when compared to the weighted approach.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:transe:v:45:y:2009:i:6:p:878-892
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    Citations

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    Cited by:

    1. Bierwirth, Christian & Meisel, Frank, 2015. "A follow-up survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 244(3), pages 675-689.
    2. 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.
    3. Ursavas, Evrim & Zhu, Stuart X., 2016. "Optimal policies for the berth allocation problem under stochastic nature," European Journal of Operational Research, Elsevier, vol. 255(2), pages 380-387.
    4. Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2013. "Marine container terminal configurations for efficient handling of mega-containerships," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 141-158.
    5. Wang, Shuaian & Meng, Qiang, 2012. "Liner ship fleet deployment with container transshipment operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 470-484.
    6. repec:eee:transe:v:106:y:2017:i:c:p:294-319 is not listed on IDEAS
    7. Kaveshgar, Narges & Huynh, Nathan, 2015. "Integrated quay crane and yard truck scheduling for unloading inbound containers," International Journal of Production Economics, Elsevier, vol. 159(C), pages 168-177.
    8. Imai, Akio & Yamakawa, Yukiko & Huang, Kuancheng, 2014. "The strategic berth template problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 77-100.

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