| Title |
The Application of Data Warehouse for Developing Construction Productivity Management System |
| Authors |
Oh, Se-Wook ; Kim, Myoung-Ho ; Kim, Young-Suk |
| Keywords |
Productivity ; Data warehouse ; OLAP ; Data mining ; influence factor |
| Abstract |
Productivity is important to evaluate an efficiency of performed work and organization in construction industry. The productivity should be defined as activity level rather than macro level in order to effectively use productivity data and manage a project. The primary objective of this study is to develop a construction productivity management system using data warehouse, OLAP and data mining technologies which enables to easily accumulate the construction productivity data and perform multi layer analysis. Finally, it is anticipated that the effective use of the developed system would be able to measure the result of project and make a plan of the similar project with reliability. |