IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Multi-criteria decision analysis in building maintainability using analytical hierarchy process

Listed author(s):
  • Sutapa Das
  • M. Y. L. Chew
  • Kim Leng Poh
Registered author(s):

    A building maintainability (BM) approach is the only plausible solution to balance a decreasing budget and increasing standards of modern commercial buildings. There is no decision-analysis framework for BM management while many objective and subjective parameters add to its complexity and hinder direct comparison of various building systems contributing to overall BM. A model was developed to compare nine major building systems, namely: basement, facade, wet area, roof, sanitary plumbing, HVAC, elevator, electrical and fire protection system. Analytical hierarchy process was chosen to address complex BM parameters. From a questionnaire survey and face-to-face interviews with 37 experts in facilities management, BM was found to depend on technical viability of services and business profile controlled by building height and location respectively. For various location-height combinations, individual sets of priorities were derived for each building system and the results were supported logically. HVAC was the highest contributor to BM followed by elevator and facade. The proposed generic method can be directly applied to both new and existing commercial buildings in Singapore and extended to other building types or climate. This precise but simple platform for multi-criteria decision analysis promises higher BM and economic returns for any commercial property.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Taylor & Francis Journals in its journal Construction Management and Economics.

    Volume (Year): 28 (2010)
    Issue (Month): 10 ()
    Pages: 1043-1056

    in new window

    Handle: RePEc:taf:conmgt:v:28:y:2010:i:10:p:1043-1056
    DOI: 10.1080/01446193.2010.501806
    Contact details of provider: Web page:

    Order Information: Web:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:taf:conmgt:v:28:y:2010:i:10:p:1043-1056. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.