Chew, M Y L and Tan, S S (2004) A multivariate approach to maintenance prediction of wet areas. Construction Management and Economics, 22(4), pp. 395-407. ISSN 01446193
Abstract
A regression model to predict the maintainability of wet areas was developed. The model was derived from comprehensive condition surveys, interviews with professionals and defect analysis of 96 buildings. The study showed that plumbing selection, access for fitting maintenance, material maintainability, usage and construction quality are the most significant parameters associated with the maintainability of wet areas.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | maintainability; maintenance prediction model; multiple regression analysis; wet area |
| Index terms: | regression model, plumbing, survey, prediction model, maintainability, interview, construction quality, multiple regression analysis |
| Subjects: | maintenance engineering, quality assurance, statistical analysis, data collection methods, mechanical systems, prediction and forecasting |
| Topics: | Design Practice, Quality Management, Business Strategy, Research Practice |
| Descriptive scope: | 4 PCEA |
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