Building Information Modeling (BIM) and the Construction Management Body of Knowledge

  • Mehmet Yalcinkaya
  • David Arditi
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 409)


Building Information Modeling (BIM) is a process by which a digital representation of the physical and functional characteristics of a facility are built, analyzed, documented and assessed virtually, then revised iteratively until the optimal model is documented. The virtual BIM model is not only graphical design but also a virtual database which includes the management data. So the construction manager (CM) can use BIM as a real simulation of the actual project. However, there is ambiguity about the compatibility of the traditional CM duties and responsibilities and BIM.

This study looked into the construction management body of knowledge under twelve main subjects relative to the functions of BIM. It was determined that BIM is effective in the most critical phases of a project’s lifecycle. The duties and responsibilities of the CM must be updated to improve CMs’ efficiency in BIM-based projects.


Building information modeling (BIM) construction manager (CM) construction management body of knowledge 


  1. 1.
    Arditi, A., Ongkasuwan, D.: Duties and responsibilities of construction managers: perception of parties involved in construction. Journal of Construction Engineering and Management 135(12), 1370–1374 (2009)CrossRefGoogle Scholar
  2. 2.
    Fisher, M., Kunz J.: The scope and role of information technology in construction (2004), (retrieved August 25, 2010)
  3. 3.
    National Institute of Building and Science (NIBS) National building information modelling standards. Facilities information council national BIM standards, Washington, DC (2007) Google Scholar
  4. 4.
    Haltenhoff, C.E.: The CM contracting system, ch. 9, pp. 128–140. Prentice Hall (1998)Google Scholar
  5. 5.
    Staub-Frenc, S., Fischer, M., Kunz, J., Paulson, B.: A generic feature driven activity-based cost estimation process. Advanced Engineering Informatics 17(1), 243–254 (2003)Google Scholar
  6. 6.
    Gabbar, H.A., Aoyama, A., Naka, Y.: Model-based computer-aided design environment for operational design. Computers and Industrial Engineering 46(3), 413–430 (2004)CrossRefGoogle Scholar
  7. 7.
    Zhang, X., Bakis, N., Lukins, T.C., Ibrahim, Y.M., Wu, S., Kagioglu, M., Aouad, G., Kaka, A.P., Trucco, E.: Automating progress measurement of construction projects. Automation in Construction 18(3), 294–301 (2009)CrossRefGoogle Scholar
  8. 8.
    Hardin, B.: BIM and construction management. Proven tools, methods, and workflows, pp. 176–177. Wiley Publishing Inc., Indianapolis (2009)Google Scholar
  9. 9.
    Popov, V., Juocevicius, V., Migilinskas, D., Ustinovichius, L., Mikalauskas, S.: The use of a virtual building design and construction model for developing an effective project in 5D environment. Automation in Construction 19(3), 357–367 (2010)CrossRefGoogle Scholar
  10. 10.
    AIA, American Institute of Architects Contract documents, Integrated project delivery (IPD) family (2008), (retrieved August 23, 2010)
  11. 11.
    Underwood, J., Isikdag, U.: Handbook of Research on Building Information Modeling and Construction Informatics: Concepts and Technologies. IGI Global (2010)Google Scholar
  12. 12.
    Baldwin, A.N., Thorpe, A., Carter, C.: The use of electronic information exchange on construction alliance projects. Automation in Construction 8, 651–662 (1999)CrossRefGoogle Scholar
  13. 13.
    Navon, R., Berkovich, O.: Development and On-Site Evaluation of an Automated Materials Management and Control Model. Journal of Construction Engineering and Management 131(12), 1328–1336 (2005)CrossRefGoogle Scholar
  14. 14.
    Hendrickson, C.: Project management for construction, Fundamental concepts for owners, engineers, architects and builders. Prentice Hall Publishing, Pitsburg (2008)Google Scholar
  15. 15.
    Mahalingham, A., Kashyap, R., Mahajan, C.: An evaluation of the applicability of 4D CAD on construction projects. Automation in Construction 19(2), 148–159 (2010)CrossRefGoogle Scholar
  16. 16.
    Zhang, J., Anson, M., Wang, Q.: A new 4D management approach to construction planning and site space utilization. In: 8th International Conference on Computing in Civil and Building Engineering, ASCE. Stanford University, California, pp. 14–17 (2000)Google Scholar
  17. 17.
    Akinci, B., Fischer, M., Kunz, J., Levitt, R.: Representing Work Spaces Generically in Construction Method Models. Working Paper #57. CIFE, Stanford University (2000)Google Scholar
  18. 18.
    Dawood, N., Scott, D., Sriprasert, E., Mallasi, Z.: The virtual construction site (VIRCON) tools: an industrial evaluation. Journal of Information Technology in Construction, 43–54 (2005)Google Scholar
  19. 19.
    Sriprasert, E., Dawood, N.: Genetic algorithms for multi-constraint scheduling: an application for the construction industry. In: Proceedings of CIB w78 Conference 2003, Auckland, New Zealand (2003)Google Scholar
  20. 20.
    Russel, A.D., Chiu, C.Y., Korde, T.: Visual representation of construction management data. Automation in Construction 18(8), 1045–1062 (2009)CrossRefGoogle Scholar
  21. 21.
    Song, K., Pollalis, S.N., Pena-Mora, F.: Project dashboard: concurrent visual representation method of project metrics on 3D building models. In: ASCE International Conference on Computing in Civil Engineering, pp. 147–153. American Society of Civil Engineers, Reston (2005)Google Scholar
  22. 22.
    Project Management Institute (PMI) Construction extention to a guide to the project management body of knowledge. Project Management Institute, Newtown Square, Pennsylvania (2000)Google Scholar
  23. 23.
    Hartman, T., Gao, J., Fischer, M.: Areas of application for 3D and 4D models on construction projects. Journal of Construction Engineering and Management 134(10), 776–785 (2008)CrossRefGoogle Scholar
  24. 24.
    Brilakis, I.K., Soibelman, L., Shinagawa, Y.: Construction site image retrieval based on material cluster recognition. Advanced Engineering Informatics 20(4), 443–452 (2006)CrossRefGoogle Scholar
  25. 25.
    Kim, H., Haas, C.T., Rauch, A.F.: 3D image segmentation of aggregates from laser profiling. Computer Aided Civil Infrastructure Engineering 18(4), 254–263 (2003)CrossRefGoogle Scholar
  26. 26.
    Akinci, B., Boukamp, F., Gordon, C., Huber, D., Lyons, C., Park, K.: A formalism for utilization of sensor systems and integrated project models for active construction quality control. Automation in Construction 15(2), 124–138 (2006)CrossRefGoogle Scholar
  27. 27.
    Babic, N.C., Podbreznik, P., Rebolj, D.: Integrating resource production and construction using BIM. Automation in Construction 19(5), 539–543 (2010)CrossRefGoogle Scholar
  28. 28.
    Wang, H.J., Zhang, J.P., Chau, K.W., Anson, M.: 4D dynamic management for construction planning and resource utilization. Automation in Construction 13(5), 575–589 (2004)CrossRefGoogle Scholar
  29. 29.
    Han, S.H., Kim, D.Y., Kim, H., Jang, W.S.: A web-based integrated system for international project risk management. Automation in Construction 17(3), 342–356 (2008)CrossRefGoogle Scholar
  30. 30.
    Sulavinki, K., Kahkonen, K., Makela T., Kiviniemi, M.: 4D-BIM for construction safety planning (2010), (retrieved August 24, 2010)
  31. 31.
    Jannadi, O.A., Bu-Khamsin, M.S.: Safety factors considered by industrial contractors in Saudi Arabia. Building and Environment 37(5), 539–547 (2002)CrossRefGoogle Scholar
  32. 32.
    Alshawi, M., Goulding, J., Nadim, W.: Training and education for open building manufacturing: Closing the skills gap. ManuBuild in collaboration with VTT – Technical Research Centre of Finland, Finland (2007)Google Scholar
  33. 33.
    Vacharapoom, B., Sdhabbon, B.: An integrated safety management with construction management using 4D CAD model. Safety Science 48(3), 395–403 (2009)Google Scholar
  34. 34.
    Hu, Z., Zhang, J., Deng, Z.: Construction process simulation and safety analysis based on building information modeling and 4D technology. Tsingua Science and Technology 13, 266–272 (2008)CrossRefGoogle Scholar
  35. 35.
    Koo, B., Fischer, M.: Feasibility study of 4D CAD in commercial construction. Journal of Construction Engineering and Management 126(4), 251–260 (2000)CrossRefGoogle Scholar
  36. 36.
    Feng, C.W., Chen, Y.J., Huang, J.H.: Using the MD CAD model to develop the time-cost integrated schedule for construction projects. Automation in Construction 19(3), 347–356 (2010)CrossRefGoogle Scholar
  37. 37.
    Koo, B., Fischer, M., Kunz, J.: A formal identidication and re-sequencing process of location-based scheduling and 4D CAD. Automation in Construction 16(2), 189–198 (2007)CrossRefGoogle Scholar
  38. 38.
    Dawood, N., Akinsola, A., Hobbs, B.: Development of automated communicated of system for managing site information using internet technology. Automation in Construction 11(5), 557–572 (2002)CrossRefGoogle Scholar
  39. 39.
    Chau, K.W., Anson, M., Zhang, J.P.: 4D dynamic construction management and visualization software: 1. Development. Automation in Construction 14(4), 512–514 (2005)CrossRefGoogle Scholar
  40. 40.
    Migilinskas, D., Ustinovichius, L.: Computer-aided modeling, evaluation and management of construction projects according to PLM concept. In: Luo, Y. (ed.) CDVE 2006. LNCS, vol. 4101, pp. 242–250. Springer, Heidelberg (2006)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Mehmet Yalcinkaya
    • 1
  • David Arditi
    • 2
  1. 1.Doctoral Student, Department of Structural Engineering and Building TechnologyAalto UniversityEspooFinland
  2. 2.Department of Civil, Architectural and Environmental EngineeringIllinois Institute of TechnologyChicagoUSA

Personalised recommendations