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Abstract
This study has been concerned with investigating several aspects of error, including human error, and the underlying causes in construction.It has attempted to calculate the realistic error rate and as a result has identified the optimum inspection rate in construction.Error prediction in construction is a new field of study, particularly with regard to repetitive construction processes.Several methodologies and probalistic approaches have been considered.Case studies have been presented and the findings shown. The results from several publications suggest that the learning rate varies with experience and with the skill of the worker, task complexity, environmental factors and interruptions due to inclement weather, inspection delays, and equipment breakdowns.A learning theory using a Straight-Line Power model was used to predict future performances,and the descrete event simulation model using 'iThink' simulation software,in conjunction with CPM, was developed in this study to calculate project durations.A simulation model was developed using the Event Tree Analysis (ETA) to calculate a more realistic error rate for the repetitive tasks.
