In the highly competitive worldwide construction industry, a slight inaccuracy of estimation can easily cause the loss of a project. Erroneous experience-based cost estimates or allocations of onsite supervisory manpower often offset the profit gained from the project and may even jeopardize the management processes. To counter these types of problems, we develop a model using mathematical analysis and case-based reasoning to automate the allocation of onsite supervisory manpower and its costs. The method is founded upon laborious data collection processes and analysis by matching statistical assumptions, and is applicable to construction projects for residential buildings, industrial office buildings, commercial buildings and industrial construction. In the modelling the costs and allocation of onsite supervisory manpower are quantified for both owners and contractors before initiating or bidding on the projects. The findings confirm that the degree of variation of the model predictions has an accuracy rate at 88.47%. Single-site construction projects with the following characteristics: a non-crashing schedule, a floor area of less than 35 000 m2, a height of less than 50m, can be accurately predicted and the assignment of supervisory manpower feasibly automated.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. 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.
Did you know? You can include your works in the database easily by uploading them on the Munich Personal RePEc Archive (MPRA) if you do not have access to an institutional RePEc archive.