IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-00800200.html
   My bibliography  Save this paper

An advanced queueing model to analyze appointment-driven service systems

Author

Listed:
  • S. Creemers

    (LEM - Lille - Economie et Management - Université de Lille, Sciences et Technologies - CNRS - Centre National de la Recherche Scientifique)

  • M. Lambrecht

Abstract

Many service systems are appointment-driven. In such systems, customers make an appointment and join an external queue (also referred to as the "waiting list"). At the appointed date, the customer arrives at the service facility and receives service. Important measures of interest include the size of the waiting list as well as the time spent in the waiting list. We develop a model to assess these performance measures. The model may be used to support strategic decisions concerning server capacity (e.g. how often should a server be online, how many customers should be served during each service session, etc.). The model is a vacation model that uses efficient algorithms and matrix analytical techniques to obtain waiting list performance measures

Suggested Citation

  • S. Creemers & M. Lambrecht, 2009. "An advanced queueing model to analyze appointment-driven service systems," Post-Print hal-00800200, HAL.
    • Handle: RePEc:hal:journl:hal-00800200
    DOI: 10.1016/j.cor.2008.12.008
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Elvan Gökalp & Nalan Gülpınar & Xuan Vinh Doan, 2020. "Capacity Planning for Networks of Stem‐Cell Donation Centers under Uncertainty," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 281-297, February.
    2. Haughton, Michael & Sapna Isotupa, K.P., 2012. "Scheduling commercial vehicle queues at a Canada–US border crossing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 190-201.
    3. Xuanzhu Fan & Jiafu Tang & Chongjun Yan, 2020. "Appointment scheduling optimization with two stages diagnosis for clinic outpatient," Computational Statistics, Springer, vol. 35(2), pages 469-490, June.
    4. Creemers, Stefan & Beliën, Jeroen & Lambrecht, Marc, 2012. "The optimal allocation of server time slots over different classes of patients," European Journal of Operational Research, Elsevier, vol. 219(3), pages 508-521.
    5. De Vuyst, Stijn & Bruneel, Herwig & Fiems, Dieter, 2014. "Computationally efficient evaluation of appointment schedules in health care," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1142-1154.
    6. Creemers, Stefan & Lambrecht, Marc R. & Beliën, Jeroen & Van den Broeke, Maud, 2021. "Evaluation of appointment scheduling rules: A multi-performance measurement approach," Omega, Elsevier, vol. 100(C).

    More about this item

    Statistics

    Access and download statistics

    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:hal:journl:hal-00800200. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.