It is a known fact that construction projects do not often complete on time due to several reasons related with the unexpected changes in the project conditions, external factors or performance of project participants. Since construction projects are unique and limited information is available at the beginning of the projects, prediction of delays is a difficult task. However, if the delays can be assessed at the early stages, their impacts might be minimized, some of the delays can even be eliminated.
This study introduces a delay assessment methodology which can be used to predict delays both at the activity level and project level. Fuzzy logic and fuzzy network analysis form the basis of this methodology. A software has been developed using the proposed delay assessment methodology and a delay taxonomy developed by Bilgin (2011). Project management teams can use the developed tool to predict delays and also evaluate impacts of delays on a project`s schedule.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12614595/index.pdf |
| Date | 01 August 2012 |
| Creators | Ghaziani, Aydin |
| Contributors | Dikmen Toker, Irem |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | Access forbidden for 1 year |
Page generated in 0.0019 seconds