4.7 Article

Applying building information modeling to integrate schedule and cost for establishing construction progress curves

Journal

AUTOMATION IN CONSTRUCTION
Volume 72, Issue -, Pages 397-410

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.autcon.2016.10.005

Keywords

Building information modeling; Progress curves; Quantity takeoffs; Scheduling activity cost

Funding

  1. Ministry of Science and Technology of Taiwan [MOST 103-2622-E-009-022-CC3]

Ask authors/readers for more resources

A cost-based progress curve (called S-curve) is often used to control construction project schedules. To establish a progress curve, the costs that are associated with each scheduling activity must be determined. However, the distributions of the quantities (costs) of cost items among various activities are time-consuming to obtain and error prone, yielding an unreliable S-curve. This work proposes the use of three-dimensional building information model (BIM) objects to integrate schedule and cost by using the powerful BIM for data acquisition and storage. BIM objects are incorporated into a proposed four-step model to establish construction progress curves. The proposed model defines search criteria (cost item, object, floor, and zone) that precisely identify takeoff objects for extracting the quantities of cost items associated with each activity. The BIM uses keynote, assembly code, and family type catalog functions to provide pop-up menus for the efficient identification of cost items that are associated with each object to preventing errors in the manual typing of cost-item names. Finally, this work demonstrates that uploading the cost items and unit prices into cost estimation software in advance is critical to automating cost estimations in BIM. (C) 2016 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available