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Heuristics for quay crane scheduling at indented berth

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  • Chen, Jiang Hang
  • Lee, Der-Horng
  • Cao, Jin Xin

Abstract

This paper discusses the quay crane scheduling problem at indented berth, an extension to the current quay crane scheduling problem in the field of container terminal operation. A mixed integer programming model by considering the unique features of the quay crane scheduling problem at indented berth is formulated. For solution, decomposition heuristic framework is developed and enhanced by Tabu search. To evaluate the performance of the proposed heuristic framework, a comprehensive numerical test is carried out and its results show the good quality of the proposed heuristic framework.

Suggested Citation

  • Chen, Jiang Hang & Lee, Der-Horng & Cao, Jin Xin, 2011. "Heuristics for quay crane scheduling at indented berth," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1005-1020.
    • Handle: RePEc:eee:transe:v:47:y:2011:i:6:p:1005-1020
    DOI: 10.1016/j.tre.2011.04.004
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    Cited by:

    1. Vibhuti Dhingra & Debjit Roy & René B. M. Koster, 2017. "A cooperative quay crane-based stochastic model to estimate vessel handling time," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 97-124, March.
    2. Noura Al-Dhaheri & Ali Diabat, 2017. "A Lagrangian relaxation-based heuristic for the multi-ship quay crane scheduling problem with ship stability constraints," Annals of Operations Research, Springer, vol. 248(1), pages 1-24, January.
    3. Nils Boysen & Simon Emde & Malte Fliedner, 2012. "Determining crane areas for balancing workload among interfering and noninterfering cranes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(8), pages 656-662, December.
    4. 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.
    5. Kong, Lingrui & Ji, Mingjun & Gao, Zhendi, 2022. "An exact algorithm for scheduling tandem quay crane operations in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    6. Simon Emde, 2017. "Optimally scheduling interfering and non‐interfering cranes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(6), pages 476-489, September.
    7. Boysen, Nils & Briskorn, Dirk & Meisel, Frank, 2017. "A generalized classification scheme for crane scheduling with interference," European Journal of Operational Research, Elsevier, vol. 258(1), pages 343-357.
    8. Wu, Lingxiao & Yang, Dong & Wang, Shuaian & Yuan, Yun, 2020. "Evacuating offshore working barges from a land reclamation site in storm emergencies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    9. Lashkari, Shabnam & Wu, Yong & Petering, Matthew E.H., 2017. "Sequencing dual-spreader crane operations: Mathematical formulation and heuristic algorithm," European Journal of Operational Research, Elsevier, vol. 262(2), pages 521-534.
    10. 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.
    11. Gharehgozli, A.H. & Roy, D. & de Koster, M.B.M., 2014. "Sea Container Terminals," ERIM Report Series Research in Management ERS-2014-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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