Progress monitoring of construction projects using pattern recognition techniques
Project monitoring involves collecting the actual-progress data, and comparing them against the relevant planned-progress data to evaluate the overall project progress at specified cut-off dates. Inevitable issues including variations in reporting skills as well as the willingness to record accurate data impact on the quality of the collected data. Comparison against multiple possible benchmarks (one-to-many) rather than a single benchmark (one-to-one) offers the potential to alleviate the negative impact of low-quality data on the progress evaluation. Special patterns, which can be readily manipulated within computer programs, are devised to encode the planned and actual progress at the cut-off dates. Basically, pattern recognition techniques are utilized to classify the multiple patterns representing the planned progress at a given cut-off date and the classification is used to evaluate the pattern representing the actual progress at the same date. The pattern recognition techniques generalize a virtual benchmark to represent the planned progress based on multiple patterns generated at a given cut-off date and representing possible benchmarks. In addition to the alleviation of the negative impact of low-quality data on the progress evaluation, the generalization feature potentially encourages a long-run attitude in site personnel to report high-quality data. Finally, the pattern recognition concept and technique proved their robustness to monitor and evaluate the overall progress of the projects based on the technique of critical path method.
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.
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.
Volume (Year): 29 (2011)
Issue (Month): 4 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/RCME20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RCME20|
When requesting a correction, please mention this item's handle: RePEc:taf:conmgt:v:29:y:2011:i:4:p:355-370. 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.