posted on 2019-05-29, 09:52authored byBrian F. Moyles
Typically, contracts in the Construction Industry are placed On
a basis of competitive tenders. The ability to estimate costs in
advance is, therefore, imperative.
Ideally, estimates should be based on recorded levels of performance
but the diversity of the projects encountered often makes this feedback
impractical. It has been observed that currently estimators depend
to.a large extent on intuition to produce prices which are acceptable
to the client. Whilst these prices are typically within 10% of the
total cost of the work, the estimates for individual work items may
differ from the actual cost by as much as 100%.
For this reason, research was undertaken into methods which are
not normally practiced in the Construction Industry; The principal
objective of the research was to find and test a method of estimating
which would be quicker than present methods and would achieve a more
direct reflection of observed performance.
This thesis describes attempts at applying regression analysis
globally to building costs. It also examines the varying levels of
difficulty in estimating different categories of work and the implications
of the Pareto distribution of the values of the items. in a
bill of quantities. [Continues.]
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
1973
Notes
A Masters Dissertation, submitted in partial fulfilment of the requirements of the award of Master of Science of Loughborough University.