A survey on modeling guidelines for quantity takeoff-oriented BIM-based design

Abstract While automatic Building Information Modeling (BIM) based quantity takeoff is one of the potentially most important and profitable applications for BIM, it is still generally underexplored how BIM models respond when quantity takeoff is its primary use. This article explores the subject by presenting a case study that surveys BIM input/output dynamics for quantity takeoff, examining model behavior when constrained by existing specifications for quantity takeoff, and detailing modeling guidelines that allow the user to extract quantities according to current specifications. The authors conclude that while it is possible to adapt the model to extract quantities according to existing specifications for manual-based measurements, the adjustments are not without its implications in other model applications such as visualization or drawings. Takeoff specifications should therefore be revised in order to account for BIM's features, and thus minimizing its limitations.

[1]  Mustafa Alshawi,et al.  An industry foundation classes Web-based collaborative construction computer environment: WISPER , 2000 .

[2]  David A. Duce,et al.  Early stage multi-level cost estimation for schematic BIM models , 2012 .

[3]  Sangyoon Chin,et al.  Automated Building Information Modeling System for Building Interior to Improve Productivity of BIM-based Quantity Take-Off , 2009 .

[4]  Mansour Nasser Jadid,et al.  Cost estimation of structural skeleton using an interactive automation algorithm: A conceptual approach , 2007 .

[5]  João Pedro Poças Martins,et al.  BIM modeling for contractors - Improving model takeoffs , 2012 .

[6]  Mike Kagioglou,et al.  BIM adoption and implementation for architectural practices , 2011 .

[7]  Song Wu,et al.  Application and extension of the IFC standard in construction cost estimating for tendering in China , 2011 .

[8]  Ghang Lee,et al.  Specifying parametric building object behavior (BOB) for a building information modeling system , 2006 .

[9]  Angela Lee,et al.  IFC implementation in lifecycle costing , 2004 .

[10]  H. Murat,et al.  A neural network approach for early cost estimation of structural systems of buildings , 2004 .

[11]  Miroslaw J. Skibiniewski Current Status of Construction Automation and Robotics in the United States of America , 1992 .

[12]  Alfredo Soeiro,et al.  ICT and e-Business in the Construction Industry , 2006 .

[13]  Zhiliang Ma,et al.  Framework Design for Bim-Based Construction Cost Estimating Software , 2010 .

[14]  Sheryl Staub-French,et al.  3D and 4D modeling for design and construction coordination: issues and lessons learned , 2007, J. Inf. Technol. Constr..

[15]  Bilal Succar,et al.  Building information modelling framework: A research and delivery foundation for industry stakeholders , 2009 .

[16]  Harold E. Marshall,et al.  UNIFORMAT II Elemental Classification for Building Specifications, Cost Estimating and Cost Analysis | NIST , 1999 .

[17]  H. Murat Gunaydin,et al.  A neural network approach for early cost estimation of structural systems of buildings , 2004 .

[18]  H. van Meerveld Reflections on estimating : the effects of project complexity and the use of BIM on the estimating process , 2009 .

[19]  João Pedro Poças Martins,et al.  SIGABIM: a framework for BIM application , 2012 .

[20]  Charles M. Eastman,et al.  BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors , 2008 .

[21]  Wei Zhenhua,et al.  Intelligent Generation of Bill of Quantity from IFC Data Subject to Chinese Standard , 2011 .

[22]  John Mitchell,et al.  Collaborative design using a shared IFC building model—Learning from experience , 2007 .

[23]  Tomoaki Shitani,et al.  A Management System for Cut and Fill Earthworks Based on 4D CAD and EVMS , 2005 .

[24]  David Arditi,et al.  Quantity Take-Off in Model-Based Systems , 2010 .

[25]  Anoop Sattineni,et al.  Estimating with BIM: A Survey of US Construction Companies , 2011 .

[26]  Peter Barrett,et al.  Construction Management Pull for 4D CAD , 2000 .

[27]  Sheryl Staub-French,et al.  Formalisms and Mechanisms Needed to Maintain Cost Estimates Based on an IFC Product Model , 2000 .

[28]  Karl Beucke,et al.  A Dynamic Framework for Construction Scheduling Based on BIM Using IFC , 2008 .

[29]  Daniel Forgues,et al.  Rethinking the Cost Estimating Process through 5D BIM: A Case Study , 2012 .

[30]  Hau Yan Leung,et al.  Building Information Modelling (BIM): A new paradigm for visual interactive modeling and simulation for construction project , 2008 .

[31]  Pedro Mêda,et al.  Electronic procurement on construction works – offer evaluation methodologies , 2012 .

[32]  Sheryl Staub-French,et al.  A generic feature-driven activity-based cost estimation process , 2003, Adv. Eng. Informatics.

[33]  Ghang Lee,et al.  What Information Can or Cannot Be Exchanged? , 2011, J. Comput. Civ. Eng..

[34]  Bonsang Koo,et al.  Industry Foundation Classes for Project Management - A Trial Implementation , 1999, J. Inf. Technol. Constr..

[35]  Angela Lee,et al.  IFC model viewer to support nD model application , 2006 .

[36]  Ghang Lee,et al.  Parametric 3D modeling in building construction with examples from precast concrete , 2004 .

[37]  Toni E Farah Review of Current Estimating Capabilities of the 3d Building Information Model Software to Support Design for Production/Construction , 2005 .

[38]  Robert Amor,et al.  Testing Semantic Interoperability , 2006 .