Glavan, J R (1988) Analysis of design-related problems from an industrial project. PhD thesis, University of Texas at Austin, USA.
Abstract
Historical data from completed construction projects are not always efficiently used when planning a future project because the data are rarely reviewed and synthesized into useful information. In this dissertation, the data from a completed industrial project are examined, with particular emphasis on the design-related problems discovered during the construction phase of the project. The problems were identified and classified into eight categories through the Inter-Office Memos which originated from the construction site. Problems are graphically displayed for each problem category, organization of the problem originator, and discipline for each of the four process areas. The results show that the timing and number of problems for each unit are similar throughout the construction phase of the project. Problem dependencies between problem categories, organization, and discipline are shown through the use of contingency tables. Problem deviations are analyzed by testing the hypothesis that the percentage of problems are linearly proportional to the percentage of discipline progress complete. Results showed that Civil problems occurred early in the project. Piping and Electrical problems increased linearly in proportion to the progress complete. Equipment and Structural problems followed a pattern which showed problems developing at the end of the discipline's activities. Instrumentation, a changing technology, showed the most scatter, but tended to follow the same type of pattern as Equipment. Forecasting models are developed using regression analysis. Three models are developed to predict the potential number of design-related problems: (1) a model using design manhours, (2) a model using construction manhours, and (3) a model using the discipline's progress schedule. A time series model is tried, but the results indicate that this method is not appropriate to analyze these problems.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Tucker, R L and O'Connor, J T |
| Uncontrolled Keywords: | construction phase; construction site; contingency; equipment; forecasting; regression analysis; time series |
| Index terms: | construction project, time series, construction site, dissertation, construction phase, testing, regression analysis, forecasting, deviation, instrumentation |
| Subjects: | research dissemination and communication, professional practice, analytical methods, production management, data science, financial and cost management, project delivery, prediction and forecasting, work location, statistical analysis |
| Topics: | Site Management, Cost Management, Research Practice, Project Management, Engineering Principles |
| Descriptive scope: | 4 PCTA |
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