IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v23y2005i1p15-31.html
   My bibliography  Save this article

RMCSIM: A simulation model of a ready-mixed concrete plant serving multiple sites using multiple truckmixers

Author

Listed:
  • S. L. Tang
  • K. C. Ying
  • M. Anson
  • M. Lu

Abstract

A simulation computer program named RMCSIM has been developed to simulate a whole day of activities for a concrete plant with N mixing bays, M truckmixers (with two different capacities: 5 m3 and 7 m3) serving S sites, where sites are at variable distances D from the plant and variable quantities Q are required by the sites in which different placing methods are used. It is developed based on a set of data which has been reported earlier in another paper (Anson et al., 2002). An optimal number of truckmixers for a particular day's order size can be found from the results of the simulations. The optimal volume of concrete that a truckmixer carries on any one day is found to be about 27 m3 in Hong Kong situations. It is also found that a two mixing bay concrete plant always provides better services than a one mixing bay plant. The mix combinations of 5 m3 and 7 m3 truckmixers in the fleet have no significant effect on concreting service performance. Lastly, it can be deduced that the causes of unsatisfactory concrete delivery performance are most likely due to site managers' difficulties in precise planning rather than the scheduling at the concrete plant.

Suggested Citation

  • S. L. Tang & K. C. Ying & M. Anson & M. Lu, 2005. "RMCSIM: A simulation model of a ready-mixed concrete plant serving multiple sites using multiple truckmixers," Construction Management and Economics, Taylor & Francis Journals, vol. 23(1), pages 15-31.
  • Handle: RePEc:taf:conmgt:v:23:y:2005:i:1:p:15-31
    DOI: 10.1080/0144619032000124661
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/0144619032000124661
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144619032000124661?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:conmgt:v:23:y:2005:i:1:p:15-31. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RCME20 .

    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.