Asmone, A S (2020) Development of a bayesian based design-for-maintinability decision support framework. PhD thesis, National University of Singapore, Singapore.
Abstract
The lack of Design for Maintainability (DfM) leads to avoidable building component defects and unproductive building operations. This study reports on the development of a building design assessment framework which predicts maintainability impacts of design alternatives. A set of maintainability criteria were identified and their interdependencies explored with an impact relation map developed using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique. A mixed method approach was used in this study where 1372 DfM benchmarks from 404 national and international building standards were analysed qualitatively to identify benchmarks relating to 123 critical building defects. Five Bayesian Belief Networks (BBN) were developed using defect data and expert judgements from multiple case studies. Results provided monetary quantifications indicating the complex relationships between DfM benchmarks and building defects to great effect. This novel consequence-based framework aids in building more maintainable building systems which are more productive in terms of materials, labour and cost.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Chew Yit Lin, M |
| Uncontrolled Keywords: | decision support; standards; building defects; building design; building operations; decision making; case study; Bayesian belief network; quantification |
| Index terms: | maintainability, building operation, bayesian belief network, design for maintainability, decision-making, laboratory, decision support, building component, quantification, building design, building defect, mixed method, building system, expert judgement, case study |
| Subjects: | professional practice, measurement and scaling, data collection methods, engineering systems, architectural elements, research management, decision analysis, architectural design, risk assessment, maintenance engineering, probabilistic model, design practice, management |
| Topics: | Risk Management, Design Practice, Engineering Principles, Business Strategy, Digital Applications, 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