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A continuous time model for multiple yard crane scheduling with last minute job arrivals

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Listed:
  • Li, Wenkai
  • Goh, Mark
  • Wu, Yong
  • Petering, M.E.H.
  • de Souza, R.
  • Wu, Y.C.

Abstract

Container terminal (CT) operations are often bottlenecked by slow YC (yard crane) movements. Efficient YC scheduling to reduce the PM waiting time is therefore critical in increasing a CT's throughput. This paper develops an efficient continuous time MILP model for YC scheduling. The model treats realistic operational constraints such as multiple inter-crane interference, fixed YC separation distances, simultaneous container storage/retrievals, realistic YC acceleration/deceleration stages and gantry time, and require far fewer integer variables than previous work. The model significantly improves the solution quality compared to the existing discrete time models and other heuristics found in the literature. Using heuristics and a rolling-horizon algorithm, our model can solve actual container yard (CY) problems quickly and robustly in polynomial time. Also, to cope with the last minute container arrivals which can disrupt routine CT operations, two methods for handling these last minute job insertions are discussed and compared.

Suggested Citation

  • Li, Wenkai & Goh, Mark & Wu, Yong & Petering, M.E.H. & de Souza, R. & Wu, Y.C., 2012. "A continuous time model for multiple yard crane scheduling with last minute job arrivals," International Journal of Production Economics, Elsevier, vol. 136(2), pages 332-343.
    • Handle: RePEc:eee:proeco:v:136:y:2012:i:2:p:332-343
    DOI: 10.1016/j.ijpe.2011.12.020
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    References listed on IDEAS

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    Cited by:

    1. Damla Kizilay & Deniz Türsel Eliiyi, 2021. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 1-42, March.
    2. Vallada, Eva & Belenguer, Jose Manuel & Villa, Fulgencia & Alvarez-Valdes, Ramon, 2023. "Models and algorithms for a yard crane scheduling problem in container ports," European Journal of Operational Research, Elsevier, vol. 309(2), pages 910-924.
    3. Dirk Briskorn, 2021. "Routing two stacking cranes with predetermined container sequences," Journal of Scheduling, Springer, vol. 24(4), pages 367-380, August.
    4. Dirk Briskorn & Lennart Zey, 2018. "Resolving interferences of triple‐crossover‐cranes by determining paths in networks," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(6-7), pages 477-498, September.
    5. Shell Ying Huang & Ya Li, 2017. "Yard crane scheduling to minimize total weighted vessel loading time in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 689-720, December.
    6. Gharehgozli, Amir Hossein & Yu, Yugang & de Koster, René & Udding, Jan Tijmen, 2014. "An exact method for scheduling a yard crane," European Journal of Operational Research, Elsevier, vol. 235(2), pages 431-447.
    7. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Storage yard operations in container terminals: Literature overview, trends, and research directions," European Journal of Operational Research, Elsevier, vol. 235(2), pages 412-430.
    8. Jenny Nossack & Dirk Briskorn & Erwin Pesch, 2018. "Container Dispatching and Conflict-Free Yard Crane Routing in an Automated Container Terminal," Transportation Science, INFORMS, vol. 52(5), pages 1059-1076, October.
    9. Gharehgozli, Amir & Xu, Chao & Zhang, Wenda, 2021. "High multiplicity asymmetric traveling salesman problem with feedback vertex set and its application to storage/retrieval system," European Journal of Operational Research, Elsevier, vol. 289(2), pages 495-507.
    10. 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.
    11. Gharehgozli, Amir & Yu, Yugang & de Koster, René & Du, Shaofu, 2019. "Sequencing storage and retrieval requests in a container block with multiple open locations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 261-284.
    12. Amir Hossein Gharehgozli & Gilbert Laporte & Yugang Yu & René de Koster, 2015. "Scheduling Twin Yard Cranes in a Container Block," Transportation Science, INFORMS, vol. 49(3), pages 686-705, August.
    13. Yong Wu & Wenkai Li & Matthew E. H. Petering & Mark Goh & Robert de Souza, 2015. "Scheduling Multiple Yard Cranes with Crane Interference and Safety Distance Requirement," Transportation Science, INFORMS, vol. 49(4), pages 990-1005, November.
    14. Gharehgozli, Amir Hossein & Vernooij, Floris Gerardus & Zaerpour, Nima, 2017. "A simulation study of the performance of twin automated stacking cranes at a seaport container terminal," European Journal of Operational Research, Elsevier, vol. 261(1), pages 108-128.
    15. Sumin Chen & Qingcheng Zeng & Yushan Hu, 2022. "Scheduling optimization for two crossover automated stacking cranes considering relocation," Operational Research, Springer, vol. 22(3), pages 2099-2120, July.
    16. Wolfgang Albrecht & Martin Steinrücke, 2020. "Continuous-time scheduling of production, distribution and sales in photovoltaic supply chains with declining prices," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 629-667, September.
    17. 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.
    18. Dirk Briskorn & Lennart Zey, 2020. "Interference aware scheduling of triple-crossover-cranes," Journal of Scheduling, Springer, vol. 23(4), pages 465-485, August.
    19. 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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