Atin, A (2016) Project risk propagation modeling of engineering, procurement and construction. PhD thesis, Wayne State University, USA.
Abstract
The construction industry is complicated since it involves a variety of stakeholders, challenging environmental issues, huge investments, complex economic and political factors, and other features which may cause an uncertain and unpredictable environment for construction projects. Impacts of risk events can transfer from one phase (source) of a construction project to another phase (target) very quickly and can cause more damage in other phases. Thus, two surveys were conducted to understand the risk propagation phenomena among the engineering, procurement, and construction phases. We conducted two surveys and analyzed data acquired by using sensitive analysis and binary logistic regression modeling. Risk propagation models in construction projects were developed and the interrelationship among the risk events and project management areas were established. The results indicated that “late design decisions and drawings” is the most important risk event in terms of risk propagation to other phases of construction projects. Also, the Procurement - Construction was found to be the strongest risk event propagation relationship in construction projects. In other words, procurement risk events have the greatest impact on the construction phase. Furthermore, in this study, twenty-eight binary logistic regression models were developed among project phases and project management areas.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Usmen, M A |
| Uncontrolled Keywords: | construction project; construction phase; design decision; investment; stakeholder; regression model |
| Index terms: | propagation, political factor, project management, construction phase, modelling, construction industry, logistic regression, regression model, construction project, design decision, environmental issue, survey, drawing |
| Subjects: | environmental issues, analytical methods, production management, engineering process, data collection methods, project delivery, technical documentation, project management theory and practice, design practice, political science, statistical analysis, industry analysis |
| Topics: | Design Practice, Governance, Research Practice, Sustainability, Project Management, Engineering Principles |
| Descriptive scope: | 5 PCTEA |
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