Lee, N H (2009) A framework for developing new visualization schemes for construction project performance monitoring. PhD thesis, University of Washington, USA.
Abstract
Over the course of a typical project, project managers should constantly monitor actual project status and resolve any discrepancies between planned and actual performance. However, it is not always easy to track and identify performance problems since a typical construction project generates a great volume and variety of ever-changing data during the control phase of project. The project success usually depends on responsiveness and agility in managing inconsistencies between targeted and actual performance. Therefore, voluminous quantitative data must be transformed into meaningful information that enables project managers to gain insights into actual project status and make more informed decisions in dynamic and complex environments. Especially in large-scale projects, project failure often results from flawed perception of discrepancies between planned and actual performance caused by complexity and significant amounts of data while the project is operated under tight budgets and timeframes. Conventional ways of presenting project data may not be appropriate for monitoring project performance, which means that project managers waste their valuable time on non-value added tasks such as exploring voluminous and unstructured data sets and transforming abstract data into meaningful information. Therefore, an essential factor to project success is the availability of an effective and intuitive project monitoring tool. The research proposes that visualization schemes not only provide a useful means of identifying performance problems from key aspects in project monitoring, but also enable project managers to gain insights into actual project status. This dissertation aims at developing a framework for visualizing project performance information, which can be used by a community of developers to create new visualization schemes for the domain of construction management.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Rojas, E M |
| Uncontrolled Keywords: | complexity; failure; construction project; monitoring; project success; visualization; developer; project manager; project performance |
| Index terms: | performance monitoring, project data, unstructured data, construction project, complexity, project monitoring, visualization, project failure, project manager, project success, project performance, monitoring, dissertation |
| Subjects: | monitoring and control systems, design practice, project management theory and practice, production management, systems engineering, project completion, profession, data collection methods, research dissemination and communication, control systems, data science |
| Topics: | Research Practice, Governance, Roles and Professions, Digital Applications, Design Practice, Site Management, Engineering Principles, Project Management |
| Descriptive scope: | 3 PCE |
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