IDEAS home Printed from https://ideas.repec.org/a/sae/fbbsrw/v9y2020i3p167-180.html
   My bibliography  Save this article

An Assessment of the Dubai Metro Service’s Performance Using SCOR Model and ARENA Simulation

Author

Listed:
  • Niyazudeen Kamarudeen
  • Balan Sundarakani
  • Ioannis Manikas

Abstract

Metro service operations have become challenging in modern urban environments due to the dynamics of population, service levels, accuracy and other operational issues. This research applies the supply chain operations reference (SCOR) model combined with the ARENA model simulation to examine the service performance in the Dubai Metro. The proposed approach takes into consideration the real-time flows of metro service operations and simulates the passengers’ service time in selected terminals. The researchers measure the actual time spent by passengers and estimate various possible scenarios as outcome. The researchers assessed the average time spent in the system and the performance improvement as a visualized outcome, with suggestions for improvements, such as: onboard card recharge, automatic checkout using radio-frequency identification (RFID) systems, integration of systems using the Internet of things (IOT) and blockchain and a dedicated lane system. The proposed recommendations have the potential to contribute to service performance improvement of the metro rail, as Dubai plans for its operational expansion process towards Expo 2020. This research methodology and these results can be extended to metro service operations of other urban centres, to better understand passengers’ behaviour in the future. In view of this, the research contributes to both the theory and practice of travel behaviour in the metro transportation service.

Suggested Citation

  • Niyazudeen Kamarudeen & Balan Sundarakani & Ioannis Manikas, 2020. "An Assessment of the Dubai Metro Service’s Performance Using SCOR Model and ARENA Simulation," FIIB Business Review, , vol. 9(3), pages 167-180, September.
  • Handle: RePEc:sae:fbbsrw:v:9:y:2020:i:3:p:167-180
    DOI: 10.1177/2319714520925749
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/2319714520925749
    Download Restriction: no

    File URL: https://libkey.io/10.1177/2319714520925749?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. Sri Yogi Kottala & Kotzab Herbert, 2019. "An empirical investigation of supply chain operations reference model practices and supply chain performance," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 69(9), pages 1925-1954, June.
    Full references (including those not matched with items on IDEAS)

    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.

      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:sae:fbbsrw:v:9:y:2020:i:3:p:167-180. 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: SAGE Publications (email available below). General contact details of provider: .

      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.