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Yard Crane Scheduling for container storage, retrieval, and relocation

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  • Galle, Virgile
  • Barnhart, Cynthia
  • Jaillet, Patrick

Abstract

This paper introduces a novel optimization problem resulting from the combination of two major existing problems arising at storage yards in container terminals. The Yard Crane Scheduling Problem is typically concerned with routing the crane given a sequence of storage and retrieval requests to perform, while the Container Relocation Problem tackles the minimization of relocations when retrieving containers in a simpler setting. This paper is the first to consider a model that integrates these two problems by scheduling storage, retrieval and relocations requests and deciding on storage and relocation positions. We formulate this problem as an integer program that jointly optimizes current crane travel time and future relocations. Based on the structure of the proposed formulation and the linear programming relaxation of subproblems, we propose a heuristic local search scheme. Finally, we show the value of our solutions on both simulated instances as well as real data from a port terminal.

Suggested Citation

  • Galle, Virgile & Barnhart, Cynthia & Jaillet, Patrick, 2018. "Yard Crane Scheduling for container storage, retrieval, and relocation," European Journal of Operational Research, Elsevier, vol. 271(1), pages 288-316.
    • Handle: RePEc:eee:ejores:v:271:y:2018:i:1:p:288-316
    DOI: 10.1016/j.ejor.2018.05.007
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    References listed on IDEAS

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    1. 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.
    2. Kap Hwan Kim & Ki Young Kim, 1999. "An Optimal Routing Algorithm for a Transfer Crane in Port Container Terminals," Transportation Science, INFORMS, vol. 33(1), pages 17-33, February.
    3. Ulf Speer & Kathrin Fischer, 2017. "Scheduling of Different Automated Yard Crane Systems at Container Terminals," Transportation Science, INFORMS, vol. 51(1), pages 305-324, February.
    4. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Transport operations in container terminals: Literature overview, trends, research directions and classification scheme," European Journal of Operational Research, Elsevier, vol. 236(1), pages 1-13.
    5. Iris F. A. Vis & Kees Jan Roodbergen, 2009. "Scheduling of Container Storage and Retrieval," Operations Research, INFORMS, vol. 57(2), pages 456-467, April.
    6. M. Hakan Akyüz & Chung‐Yee Lee, 2014. "A mathematical formulation and efficient heuristics for the dynamic container relocation problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(2), pages 101-118, March.
    7. Yat‐wah Wan & Jiyin Liu & Pei‐Chun Tsai, 2009. "The assignment of storage locations to containers for a container stack," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(8), pages 699-713, December.
    8. Galle, Virgile & Barnhart, Cynthia & Jaillet, Patrick, 2018. "A new binary formulation of the restricted Container Relocation Problem based on a binary encoding of configurations," European Journal of Operational Research, Elsevier, vol. 267(2), pages 467-477.
    9. Lehnfeld, Jana & Knust, Sigrid, 2014. "Loading, unloading and premarshalling of stacks in storage areas: Survey and classification," European Journal of Operational Research, Elsevier, vol. 239(2), pages 297-312.
    10. 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.
    11. Lee, Der-Horng & Cao, Zhi & Meng, Qiang, 2007. "Scheduling of two-transtainer systems for loading outbound containers in port container terminals with simulated annealing algorithm," International Journal of Production Economics, Elsevier, vol. 107(1), pages 115-124, May.
    12. Caserta, Marco & Schwarze, Silvia & Voß, Stefan, 2012. "A mathematical formulation and complexity considerations for the blocks relocation problem," European Journal of Operational Research, Elsevier, vol. 219(1), pages 96-104.
    13. Zehendner, Elisabeth & Caserta, Marco & Feillet, Dominique & Schwarze, Silvia & Voß, Stefan, 2015. "An improved mathematical formulation for the blocks relocation problem," European Journal of Operational Research, Elsevier, vol. 245(2), pages 415-422.
    14. Amir Hossein Gharehgozli & Yugang Yu & Xiandong Zhang & René de Koster, 2017. "Polynomial Time Algorithms to Minimize Total Travel Time in a Two-Depot Automated Storage/Retrieval System," Transportation Science, INFORMS, vol. 51(1), pages 19-33, February.
    15. Yuan, Yuan & Tang, Lixin, 2017. "Novel time-space network flow formulation and approximate dynamic programming approach for the crane scheduling in a coil warehouse," European Journal of Operational Research, Elsevier, vol. 262(2), pages 424-437.
    16. Ananthapadmanabhan Narasimhan & Udatta S. Palekar, 2002. "Analysis and Algorithms for the Transtainer Routing Problem in Container Port Operations," Transportation Science, INFORMS, vol. 36(1), pages 63-78, February.
    17. Amir Hossein Gharehgozli & Debjit Roy & René de Koster, 2016. "Sea container terminals: New technologies and OR models," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(2), pages 103-140, June.
    18. Ki Young Kim & Kap Hwan Kim, 2003. "Heuristic algorithms for routing yard‐side equipment for minimizing loading times in container terminals," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(5), pages 498-514, August.
    19. 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.
    20. Rui Rei & João Pedroso, 2013. "Tree search for the stacking problem," Annals of Operations Research, Springer, vol. 203(1), pages 371-388, March.
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    Citations

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    Cited by:

    1. Lennart Zey & Dirk Briskorn & Nils Boysen, 2022. "Twin-crane scheduling during seaside workload peaks with a dedicated handshake area," Journal of Scheduling, Springer, vol. 25(1), pages 3-34, February.
    2. 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.
    3. 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.
    4. Azab, Ahmed & Morita, Hiroshi, 2022. "The block relocation problem with appointment scheduling," European Journal of Operational Research, Elsevier, vol. 297(2), pages 680-694.
    5. 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.
    6. Feng, Yuanjun & Song, Dong-Ping & Li, Dong, 2022. "Smart stacking for import containers using customer information at automated container terminals," European Journal of Operational Research, Elsevier, vol. 301(2), pages 502-522.
    7. 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.
    8. 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.
    9. Tanaka, Shunji & Tierney, Kevin & Parreño-Torres, Consuelo & Alvarez-Valdes, Ramon & Ruiz, Rubén, 2019. "A branch and bound approach for large pre-marshalling problems," European Journal of Operational Research, Elsevier, vol. 278(1), pages 211-225.
    10. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    11. Wu, Lingxiao & Jia, Shuai & Wang, Shuaian, 2020. "Pilotage planning in seaports," European Journal of Operational Research, Elsevier, vol. 287(1), pages 90-105.
    12. Jin, Bo & Yu, Zhishan & Yu, Mingzhu, 2022. "Inbound container remarshaling problem in an automated container terminal," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).

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