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Construction equipment management and performance data are valuable assets for large contractors that need such historical data for decision making about resource allocation and equipment replacement; however, with large amounts of accumulated data, traditional data analysis based on a transactional system becomes increasingly inefficient. This paper summarizes a web-enabled data warehouse we developed for a local contractor, as well as the challenges we encountered in modeling and designing such a complex multi-subject Decision Support System (DSS). The methodology proposed in this paper is expected to provide a new approach to data analysis and information delivery in construction management.

Building a Web-Enabled Data Warehouse for Decision Support in Construction Equipment Management