Abstract How to provide construction managers with information about and insight into the existing data, so as to make decision more efficiently without interrupting the daily work of an On-Line Transaction Processing (OLTP) system is a problem during the construction management process. To solve this problem, the integration of a data warehouse and a Decision Support System (DSS) seems to be efficient. ‘Data warehouse’ technology is a new database discipline, which has not yet been applied to construction management. Hence, it is worthwhile to experiment in this particular field in order to gauge the full scope of its capability. First reviewed in this paper are the concepts of the data warehouse, On-Line Analysis Processing (OLAP) and DSS. The method of creating a data warehouse is then shown, changing the data in the data warehouse into a multidimensional data cube and integrating the data warehouse with a DSS. Finally, an application example is given to illustrate the use of the Construction Management Decision Support System (CMDSS) developed in this study. Integration of a data warehouse and a DSS enable the right data to be tracked down and provide the required information in a direct, rapid and meaningful way. Construction managers can view data from various perspectives with significantly reduced query time, thus making decisions faster and more comprehensive. The applications of a data warehousing integrated with a DSS in construction management practice are seen to have considerable potential.
[1]
Vidette Poe.
Building a Data Warehouse for Decision Support
,
1995
.
[2]
John Shumate.
Practical Guide to the Microsoft OLAP Server
,
2000
.
[3]
Jorge Vanegas.
Computing in Civil Engineering
,
1996
.
[4]
Timothy Peterson,et al.
Microsoft Olap Unleashed
,
1999
.
[5]
Erick Thomsen,et al.
Microsoft? OLAP Solutions
,
1999
.
[6]
Ian Abramson,et al.
SQL Server 7 Data Warehousing
,
1999
.
[7]
Panos Vassiliadis,et al.
Modelling and Optimisation Issues for Multidimensional Databases
,
2000,
CAiSE.
[8]
Kelvin C. P. Wang,et al.
Computing in Civil Engineering
,
1997
.
[9]
Jill Dyche.
e-Data: Turning Data Into Information With Data Warehousing
,
2000
.
[10]
Nandlal L. Sarda.
Temporal issues in data warehouse systems
,
1999,
Proceedings 1999 International Symposium on Database Applications in Non-Traditional Environments (DANTE'99) (Cat. No.PR00496).
[11]
Vijay Kumar,et al.
Recent Advances and Research Problems in Data Warehousing
,
1998,
ER Workshops.
[12]
Nie-Jia Yau,et al.
Applications of Case-Based Reasoning in Construction Engineering and Management
,
1996
.