IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-15-3977-0_75.html
   My bibliography  Save this book chapter

A Queuing Model to Improve the Utilization of Concreting Equipment

In: Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • A. Hasan

    (Deakin University
    University of South Australia)

  • N. R. Sahoo

    (Indian Institute of Technology)

  • A. Ghosh

    (Deakin University
    Indian Institute of Technology)

  • K. N. Jha

    (Indian Institute of Technology)

Abstract

Equipment productivity plays a vital role in the successful completion of a construction project. Since concrete is used as a primary construction material in many construction projects, low productivity of concreting equipment affects both project cost and schedule. The present study proposes a queuing model to improve the productivity of concreting equipment. Three different case studies have been performed using this model to examine the impact of low utilization of equipment on cost. This model could help construction practitioners in optimizing fleet cost and usage of concreting equipment such as transit mixers and concrete pumps. It could be used to study the concreting processes in real-time and thereby, identify the issues that lead to their low output. The case studies revealed that lack of skilled operator along with poor planning and supervision while performing simultaneous jobs of concreting and other related activities affect productivity rates in concreting operations.

Suggested Citation

  • A. Hasan & N. R. Sahoo & A. Ghosh & K. N. Jha, 2021. "A Queuing Model to Improve the Utilization of Concreting Equipment," Springer Books, in: Fenjie Long & Sheng Zheng & Yuzhe Wu & Gangying Yang & Yan Yang (ed.), Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate, pages 992-1002, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-3977-0_75
    DOI: 10.1007/978-981-15-3977-0_75
    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.

    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:spr:sprchp:978-981-15-3977-0_75. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.