IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v32y2002i4p1-19.html
   My bibliography  Save this article

Using Simulation to Design an Automated Underground System for Transporting Freight Around Schiphol Airport

Author

Listed:
  • M. C. van der Heijden

    (University of Twente, Faculty of Technology and Management, PO Box 217, 7500 AE Enschede, The Netherlands)

  • A. van Harten

    (University of Twente, Faculty of Technology and Management, PO Box 217, 7500 AE Enschede, The Netherlands)

  • M. J. R. Ebben

    (University of Twente, Faculty of Technology and Management, PO Box 217, 7500 AE Enschede, The Netherlands)

  • Y. A. Saanen

    (Delft University of Technology, Faculty of Technology, Policy and Management, PO Box 5, 2600 AA Delft, The Netherlands)

  • E. C. Valentin

    (Delft University of Technology, Faculty of Technology, Policy and Management, PO Box 5, 2600 AA Delft, The Netherlands)

  • A. Verbraeck

    (Delft University of Technology, Faculty of Technology, Policy and Management, PO Box 5, 2600 AA Delft, The Netherlands)

Abstract

To avoid road congestion, we are developing a highly automated underground transport system using automatic guided vehicles (AGVs) around Schiphol Airport. It is unique in its scale, incorporating 16 to 25 km tubes connecting five to 20 terminals, and it includes 200 to 400 AGVs to transport an estimated 3.5 million tons of cargo in 2020 with different ordering priorities. According to the current plans, the system will run from 2006 on. Since 1997, we have used object-oriented simulations to plan the dimensions of the system (number of AGVs, terminal sizes) and to design the layout (network, terminals). We showed that an investment reduction of plus or minus 20 percent is feasible using periodically switched one-way tube sections. We developed a variety of logistics optimization algorithms and heuristics, including allocating AGVs between terminals, scheduling terminals, and controlling traffic. We used simulation control structures to test prototype AGVs on a test site. Performing distributed simulations with a mixture of simulated and real objects, we could reduce the risks of the new technology.

Suggested Citation

  • M. C. van der Heijden & A. van Harten & M. J. R. Ebben & Y. A. Saanen & E. C. Valentin & A. Verbraeck, 2002. "Using Simulation to Design an Automated Underground System for Transporting Freight Around Schiphol Airport," Interfaces, INFORMS, vol. 32(4), pages 1-19, August.
  • Handle: RePEc:inm:orinte:v:32:y:2002:i:4:p:1-19
    DOI: 10.1287/inte.32.4.1.49
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.32.4.1.49
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.32.4.1.49?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. Warren B. Powell & Tassio A. Carvalho, 1998. "Dynamic Control of Logistics Queueing Networks for Large-Scale Fleet Management," Transportation Science, INFORMS, vol. 32(2), pages 90-109, May.
    2. Warren B. Powell & Yosef Sheffi & Kenneth S. Nickerson & Kevin Butterbaugh & Susan Atherton, 1988. "Maximizing Profits for North American Van Lines' Truckload Division: A New Framework for Pricing and Operations," Interfaces, INFORMS, vol. 18(1), pages 21-41, February.
    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. L D Smith & D C Sweeney & J F Campbell, 2009. "Simulation of alternative approaches to relieving congestion at locks in a river transportion system," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(4), pages 519-533, April.
    2. Shahooei, Sirwan & Farooghi, Ferika & Zahedzahedani, Seyed Ehsan & Shahandashti, Mohsen & Ardekani, Siamak, 2018. "Application of underground short-haul freight pipelines to large airports," Journal of Air Transport Management, Elsevier, vol. 71(C), pages 64-72.
    3. Mes, Martijn & van der Heijden, Matthieu & van Harten, Aart, 2007. "Comparison of agent-based scheduling to look-ahead heuristics for real-time transportation problems," European Journal of Operational Research, Elsevier, vol. 181(1), pages 59-75, August.
    4. Egbunike, Obiajulu N. & Potter, Andrew T., 2011. "Are freight pipelines a pipe dream? A critical review of the UK and European perspective," Journal of Transport Geography, Elsevier, vol. 19(4), pages 499-508.
    5. Ebben, M. J. R. & van der Heijden, M. C. & van Harten, A., 2005. "Dynamic transport scheduling under multiple resource constraints," European Journal of Operational Research, Elsevier, vol. 167(2), pages 320-335, December.
    6. Ebben, Mark & van der Zee, Durk-Jouke & van der Heijden, Matthieu, 2004. "Dynamic one-way traffic control in automated transportation systems," Transportation Research Part B: Methodological, Elsevier, vol. 38(5), pages 441-458, June.
    7. 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.
    8. Jianjun Dong & Yuanxian Xu & Bon-gang Hwang & Rui Ren & Zhilong Chen, 2019. "The Impact of Underground Logistics System on Urban Sustainable Development: A System Dynamics Approach," Sustainability, MDPI, vol. 11(5), pages 1-21, February.

    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. Long Gao & Jim (Junmin) Shi & Michael F. Gorman & Ting Luo, 2020. "Business Analytics for Intermodal Capacity Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 310-329, March.
    2. Peiling Wu & Joseph C. Hartman & George R. Wilson, 2005. "An Integrated Model and Solution Approach for Fleet Sizing with Heterogeneous Assets," Transportation Science, INFORMS, vol. 39(1), pages 87-103, February.
    3. Gregory A. Godfrey & Warren B. Powell, 2002. "An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, II: Multiperiod Travel Times," Transportation Science, INFORMS, vol. 36(1), pages 40-54, February.
    4. Kochel, Peter & Kunze, Sophie & Nielander, Ulf, 2003. "Optimal control of a distributed service system with moving resources: Application to the fleet sizing and allocation problem," International Journal of Production Economics, Elsevier, vol. 81(1), pages 443-459, January.
    5. Zolfagharinia, Hossein & Haughton, Michael, 2018. "The importance of considering non-linear layover and delay costs for local truckers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 331-355.
    6. D-P Song, 2007. "Characterizing optimal empty container reposition policy in periodic-review shuttle service systems," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(1), pages 122-133, January.
    7. Barrett W. Thomas & Chelsea C. White, 2004. "Anticipatory Route Selection," Transportation Science, INFORMS, vol. 38(4), pages 473-487, November.
    8. Daniel Adelman, 2007. "Price-Directed Control of a Closed Logistics Queueing Network," Operations Research, INFORMS, vol. 55(6), pages 1022-1038, December.
    9. Kochel, P., 2007. "Order optimisation in multi-location models with hub-and-spoke structure," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 368-387, July.
    10. Ozlem Ergun & Gultekin Kuyzu & Martin Savelsbergh, 2007. "Reducing Truckload Transportation Costs Through Collaboration," Transportation Science, INFORMS, vol. 41(2), pages 206-221, May.
    11. Luke Schenk & Diego Klabjan, 2008. "Intramarket Optimization for Express Package Carriers," Transportation Science, INFORMS, vol. 42(4), pages 530-545, November.
    12. George, David K. & Xia, Cathy H., 2011. "Fleet-sizing and service availability for a vehicle rental system via closed queueing networks," European Journal of Operational Research, Elsevier, vol. 211(1), pages 198-207, May.
    13. Budak, Aysenur & Ustundag, Alp & Guloglu, Bulent, 2017. "A forecasting approach for truckload spot market pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 55-68.
    14. Felix Papier & Ulrich W. Thonemann, 2008. "Queuing Models for Sizing and Structuring Rental Fleets," Transportation Science, INFORMS, vol. 42(3), pages 302-317, August.
    15. Zolfagharinia, Hossein & Haughton, Michael, 2016. "Effective truckload dispatch decision methods with incomplete advance load information," European Journal of Operational Research, Elsevier, vol. 252(1), pages 103-121.
    16. Gregory D. Glockner & George L. Nemhauser, 2000. "A Dynamic Network Flow Problem with Uncertain arc Capacities: Formulation and Problem Structure," Operations Research, INFORMS, vol. 48(2), pages 233-242, April.
    17. Weiwei Chen & Jie Song & Leyuan Shi & Liang Pi & Peter Sun, 2013. "Data mining-based dispatching system for solving the local pickup and delivery problem," Annals of Operations Research, Springer, vol. 203(1), pages 351-370, March.
    18. Warren B. Powell & Arun Marar & Jack Gelfand & Steve Bowers, 2002. "Implementing Real-Time Optimization Models: A Case Application From The Motor Carrier Industry," Operations Research, INFORMS, vol. 50(4), pages 571-581, August.
    19. Kuyzu, Gültekin & Akyol, Çağla Gül & Ergun, Özlem & Savelsbergh, Martin, 2015. "Bid price optimization for truckload carriers in simultaneous transportation procurement auctions," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 34-58.
    20. Joel A. Shapiro & Warren B. Powell, 2006. "A Metastrategy for Large-Scale Resource Management Based on Informational Decomposition," INFORMS Journal on Computing, INFORMS, vol. 18(1), pages 43-60, February.

    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:orinte:v:32:y:2002:i:4:p:1-19. 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.