Shan, Y (2014) Integrated information modeling of construction project productivity. PhD thesis, University of Colorado at Boulder, USA.
Abstract
Construction productivity is of essence to the construction industry, since it directly or indirectly relates to the cost and schedule performance of a project. Construction projects are typically undertaken in an intricate and dynamic environment. Numerous factors, such as information, equipment, tools, materials, weather, supervision, safety, sequencing, congestion, can affect the productivity of a project's craft workers. A better understanding of how these and other factors impact a project can help practitioners better predict the performance of a project's outcomes. Currently, the lack of a robust framework to model and simulate the factors on a construction project's productivity compromises the ability to accurately assess the factors' impact on a project's performance. However, Building Information Modeling (BIM) is a sophisticated platform that offers the potential to fulfill this need. BIM not only contains 3D graphical information of the various objects but also the objects' attributes, such as cost, schedule, specification, and other information. The objective of this research is to develop a proof of concept of a framework to model productivity factors with an assistance of BIM and lower level critical path scheduling. As a starting point, this research focuses on structural steel erection projects only, employing model projects, computer simulation, and quantitative analysis to test and validate the framework. This research contributes to the overall body of knowledge by providing a framework to develop prototypical models on which various factors affecting construction productivity, new construction methods, and materials can be tested and their impact can be simulated and assessed.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Goodrum, P M |
| Uncontrolled Keywords: | construction project; equipment; building information model; building information modeling; construction method; productivity; safety; scheduling; supervision; quantitative analysis; weather; simulation |
| Index terms: | supervision, construction industry, construction productivity, platform, building information modelling, information modelling, productivity, practitioner, construction project, weather, body of knowledge, quantitative analysis, schedule performance, scheduling, specification, construction method, computer simulation, critical path |
| Subjects: | industry analysis, information systems, project controls, contractual condition, management, data analysis and analytics, modelling and simulation, control systems, air quality, building construction, production management, digital design, knowledge management, operations management, operations research, practitioner |
| Topics: | Contract Administration, Time Control, Site Management, Digital Applications, Roles and Professions, Business Strategy, Information Management, Research Practice, Sustainability, Project Management |
| 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