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MILP Model and a Rolling Horizon Algorithm for Crane Scheduling in a Hybrid Storage Container Terminal

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  • Kai Yu
  • Jingcheng Yang

Abstract

This paper investigates the yard crane scheduling problem of a hybrid storage container terminal whose import containers and export containers are stored together in each block. The combination of containers improves the space utilization of a container terminal while it also creates new challenges for the yard crane scheduling. To formulate this problem, we propose a mixed integer linear programming (MILP) model, which jointly optimizes trucks’ waiting costs and penalty costs caused by exceeding waiting time thresholds. Considering the NP-completeness of this scheduling problem, we develop an efficient rolling horizon algorithm based on some heuristics to reduce the computation time. Finally, computational studies are carried out to evaluate the performance of our method and the solutions obtained by CPLEX solver are used for benchmarking purposes.

Suggested Citation

  • Kai Yu & Jingcheng Yang, 2019. "MILP Model and a Rolling Horizon Algorithm for Crane Scheduling in a Hybrid Storage Container Terminal," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-16, January.
    • Handle: RePEc:hin:jnlmpe:4739376
    DOI: 10.1155/2019/4739376
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    Cited by:

    1. Ahmed Talaat & Mohamed Gheith & Amr Eltawil, 2023. "A Multi-Stage Approach for External Trucks and Yard Cranes Scheduling with CO 2 Emissions Considerations in Container Terminals," Logistics, MDPI, vol. 7(4), pages 1-23, November.
    2. Gang Ren & Xiaohan Wang & Jiaxin Cai & Shujuan Guo, 2021. "Allocation and Scheduling of Handling Resources in the Railway Container Terminal Based on Crossing Crane Area," Sustainability, MDPI, vol. 13(3), pages 1-24, January.

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