IDEAS home Printed from https://ideas.repec.org/a/taf/conmgt/v20y2002i4p353-364.html
   My bibliography  Save this article

Scheduling system for high rise building construction

Author

Listed:
  • David Arditi
  • Pirasak Sikangwan
  • Onur Tokdemir

Abstract

A computerized system to schedule high-rise building construction has been developed using line-of-balance technology assisted by an expert system. A review of the recent literature on the techniques available for scheduling and controlling construction projects of a repetitive nature shows that Gantt charts are inadequate, and that there are serious problems with using network methods in such circumstances. There is evidence that the construction of high rise buildings has a decidedly repetitive nature but differs in some respects from other repetitive projects such as pipelines or pavement construction. Two new concepts have been introduced into line-of-balance methodology to accommodate the special conditions encountered in high rise building construction. These two concepts, namely 'flexible' unit networks and 'multi-level' LOB diagrams have been coded into a scheduling module ('Lobplans'). A series of databases have been compiled regarding the productivity of resources. An expert system module (Lobex) has been developed to facilitate decision-making at network generation level. The scheduling module, the databases, and the expert system have been organized into an integrated system (Chriss) by means of communication and command routines that interface between the modules and the user input. A 16-storey building project has been used in testing Chriss' performance. The integrated system proved to be user friendly and reliable.

Suggested Citation

  • David Arditi & Pirasak Sikangwan & Onur Tokdemir, 2002. "Scheduling system for high rise building construction," Construction Management and Economics, Taylor & Francis Journals, vol. 20(4), pages 353-364.
  • Handle: RePEc:taf:conmgt:v:20:y:2002:i:4:p:353-364
    DOI: 10.1080/01446190210131647
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/01446190210131647
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01446190210131647?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.

    Citations

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


    Cited by:

    1. Onur Tokdemir & David Arditi & Cenk Balcik, 2006. "ALISS: Advanced Linear Scheduling System," Construction Management and Economics, Taylor & Francis Journals, vol. 24(12), pages 1253-1267.

    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:20:y:2002:i:4:p:353-364. 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.