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A robust optimization approach to the integrated berth allocation and quay crane assignment problem

Author

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  • Shang, Xiao Ting
  • Cao, Jin Xin
  • Ren, Jie

Abstract

This paper investigates the integrated berth allocation and quay crane assignment problem in container terminals. A deterministic model is formulated by considering the setup time of quay cranes. However, data uncertainties widely exist, and it may cause the deterministic solution to be infeasible. To handle the uncertainties, a robust optimization model is established. Furthermore, to control the level of conservativeness, another robust optimization model with the price constraints is proposed. A genetic algorithm and an insertion heuristic algorithm are suggested to obtain near optimal solutions. Computational experiments indicate that the presented models and algorithms are effective to solve the problems.

Suggested Citation

  • Shang, Xiao Ting & Cao, Jin Xin & Ren, Jie, 2016. "A robust optimization approach to the integrated berth allocation and quay crane assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 94(C), pages 44-65.
    • Handle: RePEc:eee:transe:v:94:y:2016:i:c:p:44-65
    DOI: 10.1016/j.tre.2016.06.011
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    References listed on IDEAS

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