posted on 2010-11-22, 12:41authored byAndrew D.F. Price
The overall aim of this thesis is to develop reliable methods of
measuring output levels for construction plant and labour, with a
view to establishing realistic output rates for concreting
operations.
This thesis demonstrates that most of the variability in
production rates can be quickly explained, leaving relatively
constant levels of output f or individual construction operations
(i.e. basic operation times). The primary factors in determining
output rates were found to be work rate, delays and waiting caused
by poor management, and poor motivation.
The latter two items accounted f or more than fifty per cent of
the available working time on many sites, whereas work rate varied
only slightly. This last finding may be surprising, but the results
indicated that when work was being done the effort applied appeared
fairly constant to the observer. However, the time spent working was
largely dependent upon the level of motivation induced through the
payment system. Where a combination of good direct supervision and
satisfactory financial incentives were present, high levels of
motivation were observed, conversely, low motivation occurred on
sites where minimum day-work payments were present.
Investigations into several construction trades indicate that
work study techniques can be modified to meet the requirements of
most construction operations, sites and companies, whether the
requirements be a complex synthesis of basic operation times or the
more simple determination of site efficiency. The key to this
portability lies in the isolation of basic operation times via the
application of site efficiency factors. In this thesis, primary work study techniques are identified
and discussed. The need for specific construction work study
techniques is shown to be of paramount importance.
The results from over seventy concrete pours are combined and
statistically analysed to produce realistic output rates arid current
levels of production.
Site factors are combined and statistically analysed to produce
a relationship between efficiency and level of remuneration.
A comparison is drawn between: the production rates achieved on
several sites; and the output rates currently being used in the
planning and estimating processes.