IDEAS home Printed from https://ideas.repec.org/p/zbw/cauman/564.html
   My bibliography  Save this paper

Generating scenarios for simulation and optimization of container terminal logistics

Author

Listed:
  • Hartmann, Sönke

Abstract

This paper introduces an approach for generating scenarios of sea port container terminals. A scenario consists of arrivals of deep sea vessels, feeder ships, trains, and trucks together with lists of containers to be loaded and unloaded. Moreover, container attributes such as size, empty, reefer, weight, and destination are included. The generator is based on a large number of parameters that allow the user to produce realistic scenarios of any size. The purpose of this paper is to outline the parameters that are important to produce realistic scenarios of high practical relevance and to propose an algorithm that computes scenarios on the basis of these parameters. The scenarios can be used as input data for simulation models. Furthermore, they can be employed as test data for algorithms to solve optimization problems in container terminal logistics such as berth planning and crane scheduling. The generator discussed here has been developed within the simulation project at the HHLA Container-Terminal Altenwerder in Hamburg, Germany. Nevertheless, its structure is general enough to be applied to various other terminals as well.

Suggested Citation

  • Hartmann, Sönke, 2002. "Generating scenarios for simulation and optimization of container terminal logistics," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 564, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    • Handle: RePEc:zbw:cauman:564
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/147631/1/manuskript_564.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. De Castilho, Bernardo & Daganzo, Carlos F., 1993. "Handling Strategies for Import Containers at Marine Terminals," University of California Transportation Center, Working Papers qt5gr4622f, University of California Transportation Center.
    2. Rainer Kolisch & Arno Sprecher & Andreas Drexl, 1995. "Characterization and Generation of a General Class of Resource-Constrained Project Scheduling Problems," Management Science, INFORMS, vol. 41(10), pages 1693-1703, October.
    3. Kim, Kap Hwan & Park, Young Man & Ryu, Kwang-Ryul, 2000. "Deriving decision rules to locate export containers in container yards," European Journal of Operational Research, Elsevier, vol. 124(1), pages 89-101, July.
    4. Peterkofsky, Roy I. & Daganzo, Carlos F., 1990. "A branch and bound solution method for the crane scheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 24(3), pages 159-172, June.
    5. Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2001. "The dynamic berth allocation problem for a container port," Transportation Research Part B: Methodological, Elsevier, vol. 35(4), pages 401-417, May.
    6. Nicholas G. Hall & Marc E. Posner, 2001. "Generating Experimental Data for Computational Testing with Machine Scheduling Applications," Operations Research, INFORMS, vol. 49(6), pages 854-865, December.
    7. Meersmans, P.J.M. & Dekker, R., 2001. "Operations research supports container handling," Econometric Institute Research Papers EI 2001-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. 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.
    9. Yun, Won Young & Choi, Yong Seok, 1999. "A simulation model for container-terminal operation analysis using an object-oriented approach," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 221-230, March.
    10. de Castillo, Bernardo & Daganzo, Carlos F., 1993. "Handling strategies for import containers at marine terminals," Transportation Research Part B: Methodological, Elsevier, vol. 27(2), pages 151-166, April.
    11. Hwan Kim, Kap & Bae Kim, Hong, 1999. "Segregating space allocation models for container inventories in port container terminals," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 415-423, March.
    12. 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.
    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. Hartmann, Sönke, 2002. "A general framework for scheduling equipment and manpower on container terminals," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 566, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.

    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. 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.
    2. 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.
    3. Ebru K. Bish & Thin‐Yin Leong & Chung‐Lun Li & Jonathan W. C. Ng & David Simchi‐Levi, 2001. "Analysis of a new vehicle scheduling and location problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(5), pages 363-385, August.
    4. 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.
    5. Zhang, Chuqian & Liu, Jiyin & Wan, Yat-wah & Murty, Katta G. & Linn, Richard J., 2003. "Storage space allocation in container terminals," Transportation Research Part B: Methodological, Elsevier, vol. 37(10), pages 883-903, December.
    6. Kim, Kap Hwan & Park, Kang Tae, 2003. "A note on a dynamic space-allocation method for outbound containers," European Journal of Operational Research, Elsevier, vol. 148(1), pages 92-101, July.
    7. Anne V. Goodchild & Carlos F. Daganzo, 2006. "Double-Cycling Strategies for Container Ships and Their Effect on Ship Loading and Unloading Operations," Transportation Science, INFORMS, vol. 40(4), pages 473-483, November.
    8. Nils Boysen & Malte Fliedner & Florian Jaehn & Erwin Pesch, 2013. "A Survey on Container Processing in Railway Yards," Transportation Science, INFORMS, vol. 47(3), pages 312-329, August.
    9. 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.
    10. Niraj Ramesh Dayama & Andreas Ernst & Mohan Krishnamoorthy & Vishnu Narayanan & Narayan Rangaraj, 2017. "New models and algorithms for the container stack rearrangement problem by yard cranes in maritime ports," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(4), pages 307-348, December.
    11. 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.
    12. Hartmann, Sönke, 2002. "A general framework for scheduling equipment and manpower on container terminals," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 566, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    13. Jiang, Xinjia & Lee, Loo Hay & Chew, Ek Peng & Han, Yongbin & Tan, Kok Choon, 2012. "A container yard storage strategy for improving land utilization and operation efficiency in a transshipment hub port," European Journal of Operational Research, Elsevier, vol. 221(1), pages 64-73.
    14. 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.
    15. 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.
    16. Hyun Ji Park & Sung Won Cho & Abhilasha Nanda & Jin Hyoung Park, 2023. "Data-driven dynamic stacking strategy for export containers in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 170-195, March.
    17. Imai, Akio & Sasaki, Kazuya & Nishimura, Etsuko & Papadimitriou, Stratos, 2006. "Multi-objective simultaneous stowage and load planning for a container ship with container rehandle in yard stacks," European Journal of Operational Research, Elsevier, vol. 171(2), pages 373-389, June.
    18. Vis, Iris F.A., 2006. "A comparative analysis of storage and retrieval equipment at a container terminal," International Journal of Production Economics, Elsevier, vol. 103(2), pages 680-693, October.
    19. 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.
    20. Voß, Andre & Guckenbiehl, Gabriel & Schütt, Holger & Buer, Tobias, 2016. "A storage strategy with dynamic bay reservations for container terminals," Bremen Computational Logistics Group Working Papers 4, University of Bremen, Computational Logistics Junior Research Group.

    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:zbw:cauman:564. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/ibkiede.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.