(BIM-1348) Validating a Quantity Takeoff Generated by a Building Information Model
Primary Author: Ms Tamera L. McCuen University of Oklahoma
Audience Focus: Advanced
Application Type: Research
Time/Room: MON 2:00-3:00/Wilson A
Abstract: Validating the quantity takeoff (QTO) is an important step in any cost estimating process however it may be even more important when the QTO was generated automatically from a building information model (BIM). Generating a QTO as an export from a BIM is as simple as ‘pushing the button’ or selecting the feature from a menu. Validating the BIM QTO for accuracy and completeness is proving to be more of a challenge. In the traditional process the cost estimator is responsible for each of the activities in the process from QTO generation through validation. Validating a QTO exported from a BIM is much different because the cost estimator receives the QTO as a dataset generated from a design model. In this paper the author reviews some of the current practices used by professional cost estimators in the construction industry. In addition to reviewing current practices, the author discusses next practices and makes some recommendations for validating a quantity takeoff generated by a BIM.
(BIM-1415) BIM Based Cost Management for Large Scale Construction Projects
Primary Author: Mr Sandy MacElheron Element Industrial Solutions
Co-author(s): Dr Gang Hong P.Eng. Element Industrial Solutions Inc.; Mr Ben Swan Element Industrial Solutions Inc.
Audience Focus: Intermediate
Application Type: Application
Time/Room: MON 3:45-4:45/Wilson A
Abstract: It is not uncommon in large scale construction projects to experience cost overruns of up to 100% of the original cost estimates. The need for appropriate project planning and efficient progress tracking becomes even more important when cost is the major concern for these projects being successful from an operational standpoint. This study presents a BIM based model for cost management. In this model, project information is deconstructed and reorganized at granularity of component level, and each component is associated with relevant cost information, such as earnable man hours, actual man hours, material cost, etc. By tracking the status of each component, it is easy to produce accurate cost estimate and monitor/control project costs. A web-based construction management system is developed based on this model, and has been implemented for major oil sands projects in Alberta, Canada.