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A bi-objective robust model for berth allocation scheduling under uncertainty

Author

Listed:
  • Xiang, Xi
  • Liu, Changchun
  • Miao, Lixin

Abstract

This study examines the berth allocation problem with the consideration of uncertainty factors, including the arrival and operation times of the calling vessels. A bi-objective robust berth allocation model, which focuses on economic performance and customer satisfaction, is formulated. The model aims to optimize the robustness of the berth allocation policy, and an adaptive grey wolf optimizer algorithm is developed to solve the proposed model. The performance of the heuristic is evaluated through randomly generated instances. Experimental results show that the proposed heuristic provides good solution quality and calculation efficiency.

Suggested Citation

  • Xiang, Xi & Liu, Changchun & Miao, Lixin, 2017. "A bi-objective robust model for berth allocation scheduling under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 294-319.
    • Handle: RePEc:eee:transe:v:106:y:2017:i:c:p:294-319
    DOI: 10.1016/j.tre.2017.07.006
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