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Specialty Contractor's Role and Performance Analysis for Digital Fabrication - Focusing on the case of irregular podium construction -

디지털 패브리케이션 전문 건설업체 역할 및 성과 분석 - 비정형 포디움 시공 사례를 중심으로 -

  • Received : 2018.02.20
  • Accepted : 2018.02.21
  • Published : 2018.03.31

Abstract

Recently, there have been increasing studies on the application of digital technology, which has its focus of the irregular building. However, most of these studies have not clarified the objective of the technology and the effectiveness of professional manpower on its performance. This study analyzes actual used technology and the role of specialty contractor. It presents a framework to quantify the performance of the specialty contractor. For these purposes, this paper presents a proposed method to evaluate the activities of specialty contractors using a queueing model. As an attempt to verify the model, an actual irregular building project, in which digital fabrication is applied, is investigated during the construction phase. In order to collect the digital fabrication data, digital fabrication reports and specialty contractor's work log of project are reviewed. In addition, Digital Fabrication input personnel, productivity data are collected through interviews with experts involving in the case project. Analysis of specialty contractor's performance in digital fabrication reveals that the wait status of project participants varies probabilistically depending on the digital technology application level. The results of this study are expected to contribute toward the improvement of the production level in the construction industry.

Keywords

References

  1. Arora, S. K., Foley, R. W., Youtie, J., Shapira, P., Wiek, A. (2014). Drivers of technology adoption d the case of nanomaterials in building construction. Technol. Forecast. Soc. Change 87, pp. 232-244. https://doi.org/10.1016/j.techfore.2013.12.017
  2. Azhar, S., Hein, M., Sketo, B. (2008). Building Information Modeling (BIM): Benefits, Risks and Challenges, in: T. Sulbaran (Ed.), International Proceedings of the 44th Annual Conference. McWhorter School of Building Science, Auburn University, Auburn, Alabama, USA.
  3. Bernolak, I. (1997). Effective measurement and successful elements of company product ivity : the bas is of competitiveness and world prosperity, International Journal of Production Economics. 52(1-2), pp. 203-213. https://doi.org/10.1016/S0925-5273(97)00026-1
  4. bimSCORE. (2011). bimSCORE.
  5. Bryan, W. F., Robert, M. L., David, R. R. (2013). Project Impacts of Specialty Mechanical Contractor Design Involvement in the Health Care Industry: Comparative Case Study, Journal of Construction Engineering and Management, 139(9), pp. 1091-1097. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000723
  6. Buswell, R. A., Thorpe, A., Soar, R. C., Gibb, A. G. F. (2008). Design, data and process issues for mega-scale rapid manufacturing machines used for construction. Automation in Construction, 17(8), pp. 923-929. https://doi.org/10.1016/j.autcon.2008.03.001
  7. Chen, D., Heyer, S., Ibbotson, S., Salonitis, K., Steingrímsson, J.G., Thiede, S. (2015). Direct digital manufacturing: definition, evolution, and sustainability implications. J. Clean. Prod. 107, pp. 615-625. https://doi.org/10.1016/j.jclepro.2015.05.009
  8. Dozzi, S., AbouRizk, S. (1993). Productivity in Construction, in: National Research Council (Ed.) Ottawa, Canada.
  9. Dunn, N. (2012). Digital Fabrication in Architecture. Laurence King Publishing Ltd, London, United Kingdom.
  10. Frederick S., Mark S. (2010). Introduction to Management Science, A Modeling and Case Studies Approach with Spreadsheets, 4th Edition, McGrawHill, Chapter 11.
  11. Giel, B. K., Issa, R. R. A., Olbina, S. (2010). Return on Investment Analysis of Building Information Modeling in Construction, in: W. Tizani (Ed.), The International Conference on Computing in Civil and Building Engineering (ICCCBE), Nottingham University Press, Nottingham, UK, pp. 153-158.
  12. Gil, N., Tommelein, D., Kirkendall, R. L., Ballard, G. (2001). Leveraging specialty-contractor knowledge in design-build organizations, Engineering, Construction and Architectural Management 8, 5/6, pp. 355-367. https://doi.org/10.1108/eb021196
  13. Gramazio, F., Kohler, M. (2008). Digital materiality in architecture. Lars Muller Publishers, Baden, Switzerland.
  14. Gramazio, F., Kohler, M., Langenberg, S. (2014). FABRICATE: Negotiating Design & Making. gta Verlag, Zurich, Switzerland.
  15. Halligan, D., Brown, J., Demsetz, L., Pace, C. (1994). Action-response model and loss of productivity in construction, Journal of Construction Engineering and Management. 120(1), pp. 47-64. https://doi.org/10.1061/(ASCE)0733-9364(1994)120:1(47)
  16. Ham, N. H., Kim, J. J. (2015). A Case Study on BIM Operating and Performance Measurement in Construction Phase, Journal of KIBIM, 5(2), pp. 1-11. https://doi.org/10.13161/kibim.2015.5.2.001
  17. Indiana University Architect's Office. (2009). IU BIM Proficiency Matrix, Indiana University Architect's Office.
  18. Isolda, A. J., Florian, M., Norman, H., Timothy, W., Guillaume, H. (2017). Potential benefits of digital fabrication for complex structures: Environmental assessment of a robotically fabricated concrete wall, Journal of Cleaner Production. 154(2017), pp. 330-340. https://doi.org/10.1016/j.jclepro.2017.04.002
  19. Jang, S. J., Lee, G. (2016). Analysis of Technical Requirement for Implementation of Multi-trade Prefabrication, Conference of the Korean Institute of Building Construction, the Korean Institute of Building Construction, 16(1), pp. 113-114.
  20. Jeong, K., Cho, H., Don, T. (2008). Integration of queueing network and IDEF3 for business process analysis, Business Process Management Journal, 14(4), pp. 471-482. https://doi.org/10.1108/14637150810888028
  21. Jones, S. A. (2013). Global Industry Trends with Building Information Modeling (BIM). Construction Innovation 2013 Forum, McGraw_Hill
  22. Jung, S. C. (2014). An Analysis of the Conceptualization, Representation and Implementation Process of Major Free-form Buildings in South Korea Since Year 2000, Master's Thesis. Yonsei University.
  23. Kim, D. Y., Shim, C. S., Lee, B. J. (2014). Reverse engineering of facilities using laser scanning, KIBIM Annual Conference, 2014 May 23; Seoul, Korea. Seoul (Korea): Korean Institute of Building Information Modeling, 2014, pp. 23-24.
  24. Kim, E. J., Kim, J. H., Huh, Y. K. (2016). A Case Study on Practical Uses of BIM in Building Construction, Journal of the Architectural Inst i tute of Korea Structure & Construction, 32(12), pp. 69-75. https://doi.org/10.5659/JAIK_SC.2016.32.12.69
  25. Kim, H. J., Yoo, M. Y., Kim, J. J., Choi, C. S. (2017). Performance Analysis of BIM Labor using Case Analysis, Journal of KIBIM, 7(3), pp. 31-39.
  26. Kim, S. J. (2017). Construction method of 3D interior and exterior panel using CNC T-BAR, Korea Intellectual Property Rights Information Service, 1017624190000 (2017.07.21).
  27. Kim, S. J., Park, S. J., Ryu, H. G. (2015). Review of reverse design process for freeform envelope using 3D scanning, Conference of the Korean Institute of Building Construction; 2015 May 28-29; Yeosu, Korea, Seoul (Korea) : the Korean Institute of Building Construction, 2015, pp.17-18.
  28. Kim, S., Chin, S., Han, J., Choi, C. (2017). Measurement of Construction BIM Value Based on a Case Study of a Large-Scale Building Project. Journal of Management in Engineering, 33(6), 05017005-1-05017005-10
  29. Kloft, H. (2009). Fabricating architecture(selected readings in digital design and manufacturing). New York: Rinceton Architectural Press, p.111.
  30. Koh, S. H., Ham, N. H., Lee, J. S., Yoon, S. W., Kim, J. J. (2017). Comparison Analysis of BIM Level in the Domestic and Overseas BIM Projects - Focused on BIM Journals and Award Winning Projects, Journal of KIBIM, 7(2), pp. 25-35.
  31. Lawrence,P.(1997). Workflow handbook, John Wiley & Sons, Inc. New York, NY, USA ${(c)}$1997 table of contents ISBN:0-471-96947-8
  32. Lee, G., Park, K., Won, J. (2012). D3 City project - Economic impact of BIM-assisted design validation. Automation in Construction, 22, pp. 577-586. https://doi.org/10.1016/j.autcon.2011.12.003
  33. Little, J. D. C. (1961). A proof of the queuing formula: L= ${\lambda}W$. Oper. Res. 9(3), pp. 383-387. https://doi.org/10.1287/opre.9.3.383
  34. McCuen, T, Suermann, M. P. (2007). The Interactive Capability Maturity Model and 2007 AIA TAP BIM Award Winners, 33.
  35. Mortenson. (2014). Prefabrication: Benefits & Drivers for Successful Implementation. Prefabrication Research Study Results. M. Rosenquist and B. Gregor.
  36. Poirier, E., Staub-French, S., Forgues, D. (2015). Measuring the impact of BIM on labor productivity in a small specialty contracting enterprise through action-research, Automation in Construction 58 (2015) pp. 74-84. https://doi.org/10.1016/j.autcon.2015.07.002
  37. Ryu, H. G. (2013). 3D Digital Design Optimization Process Considering Constructability of Freeform Structure, Korean Journal of Construction Engineering and Management, KICEM, 14(5), pp. 35-43. https://doi.org/10.6106/KJCEM.2013.14.5.035
  38. Ryu, H. G., Kim, S. J. (2016). Implications Deduction through Analysis of Reverse Engineering Process and Case Study for Prefabrication and Construction of Freeform Envelop Panels, Journal of the Korea Institute of Building Construction, 16(6), pp. 579-585. https://doi.org/10.5345/JKIBC.2016.16.6.579
  39. Skanska. (2011). Prefabrication Case Study, Miami Valley Hospital. 2011 NYC Healthcare Symposium
  40. Son, J., Kim, J., Kim, M. (2005). Extracting the workflow critical path from the extended well-formed workflow schema, Journal of Computer and Systems Sciences, 70(1), pp. 86-106. https://doi.org/10.1016/j.jcss.2004.07.001
  41. Truong, N. K. V., Choi, Y., Kim, I., Shin, S., Hwang, W. J. (2010). A Probabilistic Approach to Workflow Time Analysis for Business Process Management, International Journal of Human and Social Sciences, 5(12), pp. 811-815.
  42. Won, J. S., Lee, J. J., Lee, G. (2008). A Case Study On BIM Collaboration and Information Management Methods, Journal of the Architectural Institute of Korea Planning & Design, 24(8), pp. 25-32.
  43. Zhuge, H., Cheung, T., Pung, H. (2001). A timed workflow process model, The Journal of Systems and Software, 55(3), pp. 231-243. https://doi.org/10.1016/S0164-1212(00)00073-X