IDEAS home Printed from https://ideas.repec.org/a/inm/ortrsc/v49y2015i4p990-1005.html
   My bibliography  Save this article

Scheduling Multiple Yard Cranes with Crane Interference and Safety Distance Requirement

Author

Listed:
  • Yong Wu

    (Department of International Business and Asian Studies, Griffith University, Gold Coast Campus, Southport, QLD 4222, Australia)

  • Wenkai Li

    (Graduate School of International Management, International University of Japan, Niigata 949-7277, Japan)

  • Matthew E. H. Petering

    (Industrial and Manufacturing Engineering Department, University of Wisconsin–Milwaukee, Milwaukee, Wisconsin 53211)

  • Mark Goh

    (NUS Business School and The Logistics Institute–Asia Pacific, National University of Singapore, Singapore 119245; and School of Business Information Technology and Logistics, and Platform Technologies Research Institute, RMIT University, Melbourne, VIC 3000, Australia)

  • Robert de Souza

    (The Logistics Institute–Asia Pacific, National University of Singapore, Singapore 119613)

Abstract

Container terminals require robust scheduling algorithms for yard cranes to optimally determine the sequence of storage and retrieval operations in yard blocks for higher container terminal performance. This paper investigates the multiple yard crane scheduling problem within a generic yard block and considers the operational restrictions such as the crane noncrossing constraint and models the crane travel time realistically. Further, the fact that any two adjacent cranes must keep an operational safety distance is also taken into consideration. These physical constraints limit the mobility of yard cranes and greatly render the scheduling difficulty for such pieces of equipment.This paper proposes a clustering-reassigning approach, which fully considers all of the operational constraints in practice. The complexity of the approach is o ( n 3 ), where n is the number of container moves to be scheduled, making it suitable for real-time scheduling. Numerical experiments and benchmark with a continuous time-based mixed-integer linear programming model indicate that the clustering-reassigning approach can provide satisfactory near optimal solutions for different sets of test cases in a real-time scheduling context.

Suggested Citation

  • 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.
  • Handle: RePEc:inm:ortrsc:v:49:y:2015:i:4:p:990-1005
    DOI: 10.1287/trsc.2015.0641
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/trsc.2015.0641
    Download Restriction: no

    File URL: https://libkey.io/10.1287/trsc.2015.0641?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Cao, Zhi & Lee, Der-Horng & Meng, Qiang, 2008. "Deployment strategies of double-rail-mounted gantry crane systems for loading outbound containers in container terminals," International Journal of Production Economics, Elsevier, vol. 115(1), pages 221-228, September.
    2. 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.
    3. Iris F. A. Vis & Hector J. Carlo, 2010. "Sequencing Two Cooperating Automated Stacking Cranes in a Container Terminal," Transportation Science, INFORMS, vol. 44(2), pages 169-182, May.
    4. Raymond K. Cheung & Chung-Lun Li & Wuqin Lin, 2002. "Interblock Crane Deployment in Container Terminals," Transportation Science, INFORMS, vol. 36(1), pages 79-93, February.
    5. Zhang, Chuqian & Wan, Yat-wah & Liu, Jiyin & Linn, Richard J., 2002. "Dynamic crane deployment in container storage yards," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 537-555, July.
    6. Cao, Jin Xin & Lee, Der-Horng & Chen, Jiang Hang & Shi, Qixin, 2010. "The integrated yard truck and yard crane scheduling problem: Benders' decomposition-based methods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(3), pages 344-353, May.
    7. Ng, W. C., 2005. "Crane scheduling in container yards with inter-crane interference," European Journal of Operational Research, Elsevier, vol. 164(1), pages 64-78, July.
    8. Xi Guo & Shell Ying Huang, 2012. "Dynamic Space and Time Partitioning for Yard Crane Workload Management in Container Terminals," Transportation Science, INFORMS, vol. 46(1), pages 134-148, February.
    9. 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.
    10. J Blazewicz & T C E Cheng & M Machowiak & C Oguz, 2011. "Berth and quay crane allocation: a moldable task scheduling model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1189-1197, July.
    11. Young Kim, Ki & Hwan Kim, Kap, 1999. "A routing algorithm for a single straddle carrier to load export containers onto a containership," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 425-433, March.
    12. Vis, Iris F. A. & de Koster, Rene, 2003. "Transshipment of containers at a container terminal: An overview," European Journal of Operational Research, Elsevier, vol. 147(1), pages 1-16, May.
    13. 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.
    14. Li, Wenkai & Wu, Yong & Petering, M.E.H. & Goh, Mark & Souza, Robert de, 2009. "Discrete time model and algorithms for container yard crane scheduling," European Journal of Operational Research, Elsevier, vol. 198(1), pages 165-172, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Yan Zheng & Meixian Xu & Zhaohu Wang & Yujie Xiao, 2023. "A Genetic Algorithm for Integrated Scheduling of Container Handing Systems at Container Terminals from a Low-Carbon Operations Perspective," Sustainability, MDPI, vol. 15(7), pages 1-21, 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. 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.
    5. Ehleiter, Anne & Jaehn, Florian, 2016. "Housekeeping: Foresightful container repositioning," International Journal of Production Economics, Elsevier, vol. 179(C), pages 203-211.
    6. 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.
    7. Zhou, Chenhao & Lee, Byung Kwon & Li, Haobin, 2020. "Integrated optimization on yard crane scheduling and vehicle positioning at container yards," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    8. Xiyan Zheng & Chengji Liang & Yu Wang & Jian Shi & Gino Lim, 2022. "Multi-AGV Dynamic Scheduling in an Automated Container Terminal: A Deep Reinforcement Learning Approach," Mathematics, MDPI, vol. 10(23), pages 1-19, December.
    9. 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.
    10. 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.
    11. Abou Kasm, Omar & Diabat, Ali & Bierlaire, Michel, 2021. "Vessel scheduling with pilotage and tugging considerations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    12. Amelie Eilken, 2019. "A decomposition-based approach to the scheduling of identical automated yard cranes at container terminals," Journal of Scheduling, Springer, vol. 22(5), pages 517-541, October.
    13. 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.
    14. Wang, Mengyao & Zhou, Chenhao & Wang, Aihu, 2022. "A cluster-based yard template design integrated with yard crane deployment using a placement heuristic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    15. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Chen, Lu & Langevin, André & Lu, Zhiqiang, 2013. "Integrated scheduling of crane handling and truck transportation in a maritime container terminal," European Journal of Operational Research, Elsevier, vol. 225(1), pages 142-152.
    8. Yu, Dayong & Li, Dong & Sha, Mei & Zhang, Dali, 2019. "Carbon-efficient deployment of electric rubber-tyred gantry cranes in container terminals with workload uncertainty," European Journal of Operational Research, Elsevier, vol. 275(2), pages 552-569.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. Gharehgozli, Amir & Zaerpour, Nima, 2018. "Stacking outbound barge containers in an automated deep-sea terminal," European Journal of Operational Research, Elsevier, vol. 267(3), pages 977-995.
    14. Jiang, Xin Jia & Jin, Jian Gang, 2017. "A branch-and-price method for integrated yard crane deployment and container allocation in transshipment yards," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 62-75.
    15. Xi Guo & Shell Ying Huang, 2012. "Dynamic Space and Time Partitioning for Yard Crane Workload Management in Container Terminals," Transportation Science, INFORMS, vol. 46(1), pages 134-148, February.
    16. Xiao-Ming Yang & Xin-Jia Jiang, 2020. "Yard Crane Scheduling in the Ground Trolley-Based Automated Container Terminal," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(02), pages 1-28, March.
    17. 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.
    18. Amir Gharehgozli & Debjit Roy & Suruchika Saini & Jan-Kees Ommeren, 2023. "Loading and unloading trains at the landside of container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(3), pages 549-575, September.
    19. Anne Ehleiter & Florian Jaehn, 2018. "Scheduling crossover cranes at container terminals during seaside peak times," Journal of Heuristics, Springer, vol. 24(6), pages 899-932, December.
    20. Fotuhi, Fateme & Huynh, Nathan & Vidal, Jose M. & Xie, Yuanchang, 2013. "Modeling yard crane operators as reinforcement learning agents," Research in Transportation Economics, Elsevier, vol. 42(1), pages 3-12.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ortrsc:v:49:y:2015:i:4:p:990-1005. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.