Saha, Swapan Kumar (2002) Predicting realistic performance rate and optimum inspection rate in construction. PhD thesis, University of Western Sydney, Australia.
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.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | complexity; duration; equipment; learning; repetitive construction; weather; case study; simulation |
| Index terms: | complexity, publication, weather, environmental factor, methodology, learning theory, repetitive construction, duration, inspection, case study |
| Subjects: | environmental science, air quality, data collection methods, research dissemination and communication, learning theory, quality assurance, systems engineering, building construction, project controls, research methods |
| Topics: | Information Management, Research Practice, Construction Technology, Time Control, Engineering Principles, Sustainability, Quality Management |
| Descriptive scope: | 4 PCTE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here