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Effective algorithms for integrated scheduling of handling equipment at automated container terminals

Author

Listed:
  • Meersmans, P.J.M.
  • Wagelmans, A.P.M.

Abstract

In this paper we consider the problem of integrated scheduling of various types of handling equipment at an automated container terminal, where the objective is to minimize the makespan of the schedule. We present a Branch & Bound algorithm that uses various combinatorial lower bounds. Computational experiments show that this algorithm is able to produce optimal or near optimal schedules for instances of practical size in a reasonable time. We also develop a Beam Search heuristic that can be used to tackle very large problem instances. Our experiments show that for such instances the heuristic obtains close to optimal solutions in a reasonable time.

Suggested Citation

  • Meersmans, P.J.M. & Wagelmans, A.P.M., 2001. "Effective algorithms for integrated scheduling of handling equipment at automated container terminals," ERIM Report Series Research in Management ERS-2001-36-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.
    • Handle: RePEc:ems:eureri:95
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    File URL: https://repub.eur.nl/pub/95/erimrs20010608163434.pdf
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    Citations

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    Cited by:

    1. Di Luan & Mingjing Zhao & Qianru Zhao & Nan Wang, 2021. "Modelling of integrated scheduling problem of capacitated equipment systems with a multi-lane road network," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-38, June.
    2. Harry Geerlings & Robert Heij & Ron van Duin, 2018. "Opportunities for peak shaving the energy demand of ship-to-shore quay cranes at container terminals," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-20, December.
    3. Lau, Henry Y.K. & Zhao, Ying, 2008. "Integrated scheduling of handling equipment at automated container terminals," International Journal of Production Economics, Elsevier, vol. 112(2), pages 665-682, April.
    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. Briskorn, Dirk & Drexl, Andreas & Hartmann, Sönke, 2005. "Inventory based dispatching of automated guided vehicles on container terminals," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 596, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    6. Vitalii Naumov & Daniel Kubek & Paweł Więcek & Iwona Skalna & Jerzy Duda & Robert Goncerz & Tomasz Derlecki, 2021. "Optimizing Energy Consumption in Internal Transportation Using Dynamic Transportation Vehicles Assignment Model: Case Study in Printing Company," Energies, MDPI, vol. 14(15), pages 1-22, July.
    7. Wu, Yue & Luo, Jiabin & Zhang, Dali & Dong, Ming, 2013. "An integrated programming model for storage management and vehicle scheduling at container terminals," Research in Transportation Economics, Elsevier, vol. 42(1), pages 13-27.
    8. Vis, Iris F.A., 2006. "Survey of research in the design and control of automated guided vehicle systems," European Journal of Operational Research, Elsevier, vol. 170(3), pages 677-709, May.

    More about this item

    Keywords

    AGV's; Container terminal; beam search; branch & bound; scheduling;
    All these keywords.

    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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