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Qualitative analysis of Request For Information to identify design flaws in steel construction projects Cover

Qualitative analysis of Request For Information to identify design flaws in steel construction projects

Open Access
|Apr 2020

References

  1. Abadi, M. (2005). Issues and challenges in communication within design teams in the construction industry: Investigation into the use of virtual teams and information and communication technologies (ICTs) in the UK construction industry. University of Manchester.
  2. Abolnour, M. M. (1994). The relationship of fee structure in engineering offices and design deficiency. King Fahd University of Petroleum and Minerals.
  3. Andrews, W. (2005). RFI recommendations. Modern Steel Construction, 46(10), pp. 37–41.
  4. Assaf, S., Hassanain, M. A., & Abdallah, A. (2018). Review and assessment of the causes of deficiencies in design documents for large construction projects. International Journal of Building Pathology and Adaptation, 36(3), pp. 300–317.
  5. Barrett, J. (2016). The impact from building information modelling at the design stage within the construction process. PhD thesis, University of Central Lancashire.
  6. Budd, R. W., Thorp, R. K., & Donohew, L. (1967). Content analysis of communications. New York, Macmillan.
  7. Burati, J. L. Jr., Farrington, J. J., & Ledbetter, W. B. (1992). Causes of quality deviations in design and construction, Journal of Construction Engineering and Management, 118(1), pp. 34–49.
  8. Burns, T. M. (2007). The effect of selected request for information variables on steel fabrication outcomes. Indiana State University.
  9. Business Week. (1982) “Quality: The U.S. Drive to Catch Up” (November 1, 1982).
  10. Crotty, R. A. Y. (2012). The impact of building information modelling transforming construction, 1st ed. Taylor and Francis, London, UK.
  11. Corning, P. A. (1998). “The synergism hypothesis”: On the concept of synergy and its role in the evolution of complex systems. Journal of social and evolutionary systems. 21, pp. 133–172.
  12. Diekmann, J. E., & Nelson, M. C. (1985). Construction claims: Frequency and severity. Journal of Construction Engineering and Management, 111(1), pp. 74–81.
  13. Downe-Wamboldt, B. (1992). Content analysis: Method, applications, and issues. Health Care for Women International, 13(3), pp. 313–321.
  14. Egan, J. (1998). The Egan report-rethinking construction. Report of the Construction Industry Task Force to the Deputy Prime Minister, London.
  15. Elvin, G. (2007). Integrated Practice in Architecture: Mastering Design-Build, Fast-Track, and Building Information Modeling. John Wiley & Sons, Hoboken, NJ.
  16. Evers, H. G. A., & Maatje, I. R. F. (2000). Cost based engineering and production of steel constructions. In: Connection in steel structures IV, October 22.–25, Roanoke, Virginia, USA, pp. 14–22.
  17. Fokwa Soh, M., Barbeau, D., Dore, S., & Forgues, D. (2018). Design rules to improve efficiency in the steel construction industry. Építészmérnöki Kar. In: Proceedings of the Creative Construction Conference 2018, CCC 2018, 30 June – 3 July 2018, Ljubljana, Slovenia.
  18. Fokwa Soh, M., Barbeau, D., Dore, S., & Forgues, D. (2019). Toward a qualitative RFIs content analysis approach to improve collaboration between design and construction phases. Építészmérnöki Kar. In: Proceedings of the Creative Construction Conference 2019.
  19. Fokwa Soh, M., Forgues, D., & Doré, S. (2017). Integrating concepts and principles from lean thinking and the design for X to BIM. Canadian Society for Civil Engineering.
  20. Forgues, D., & Iordanova, I. (2010). An IDP-BIM framework for reshaping professional design practices. In: Construction Research Congress 2010: Innovation for Reshaping Construction Practice, pp. 172–182.
  21. Graneheim, U. H., Lindgren, B.-M., & Lundman, B. (2017). Methodological challenges in qualitative content analysis: A discussion paper. Nurse Education Today, 56, pp. 29–34.
  22. Han, J., Pei, J., & Kamber, M. (2011). Data mining: concepts and techniques. Elsevier.
  23. Hosny, H. E., Ibrahim, A. H., & Elmalt, A. E. (2019). Factors affecting quality of tender documents. Al-Azhar University Civil Engineering Research Magazine (CERM), 41(1), pp. 346–355.
  24. Hsieh, H.-F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), pp. 1277–1288.
  25. Hughes, N. et al. (2013). Impact & control of RFIs on construction projects. Navigant Construction ForumTM. sn]. Disponível em: http://goo.gl/unXqaU.
  26. Jeong, W., Chang, S., Son, J., & Yi, J.-S. (2016). BIM-integrated construction operation simulation for just-in-time production management. Sustainability, 8(11), p. 1106.
  27. Jin, R., Yang, T., Piroozfar, P., Kang, B.-G., Wanatowski, D., & Hancock, C. M. (2018). Project-based pedagogy in interdisciplinary building design adopting BIM. Engineering, Construction and Architectural Management, 25(10), pp. 1376–1397.
  28. Kent, D. C., & Becerik-Gerber, B. (2010). Understanding construction industry experience and attitudes toward integrated project delivery. Journal of Construction Engineering and Management, 136(8), pp. 815–825.
  29. Lantz, B. (2015). Machine Learning with R. PACKT Publishing Ltd, 2. Available at: http://books.tarsoit.com/Machine Learning with R - Second Edition.pdf on 4 December, 2017.
  30. Latham Sir, M. (1994). Constructing the Team: Final Report of the Government/Industry Review of Procurement and Contractual Arrangements in the UK Construction Industry. HMSO, London.
  31. Lawson, B. (2006). How Designers Think: The Design Process Demystified. Routledge, London.
  32. Lindkvist, K. (1981). Approaches to textual analysis. Advances in Content Analysis, 9, pp. 23–42.
  33. Love, P., Davis, P., Ellis, J., & Cheung, S. O. (2010). Dispute causation: Identification of pathogenic influences in construction. Engineering, Construction and Architectural Management, 17(4), pp. 404–423.
  34. Lutz, J. D., Hancher, D. E., & East, E. W. (1990). Framework for design-quality-review data-base system. Journal of Management in Engineering, 6(3), pp. 296–312.
  35. McTavish, D. G., & Pirro, E. B. (1990). Contextual content analysis. Quality and Quantity, 24(3), pp. 245–265.
  36. Mei, Q., & Zhai, C. (2005). Discovering evolutionary theme patterns from text: An exploration of temporal text mining. In: Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery in Data Mining, ACM, pp. 198–207.
  37. Minichiello, V., Aroni, R., & Minichiello, V. (1990). In-Depth Interviewing: Researching People. Longman Cheshire, South Melbourne.
  38. Mohamed, S., Tilley, P. A., & Tucker, S. N. (1999). Quantifying the time and cost associated with the request for information (RFI) process in construction. International Journal of Construction Information Technology, 7(1), pp. 35–50.
  39. Nigro, W. T. (1987). Contract documents, a quality-control guide+ redicheck-plan-and-speciation-review. Architecture-the Aia Journal, 76(1), pp. 82–85.
  40. Onungwa, I. O., & Uduma-Olugu, N. (2017). Building information modelling and collaboration in the Nigerian construction industry. Journal of Construction Business and Management, 1(2), pp. 1–10.
  41. Papajohn, D. et al. (2018). Exploring potential delays associated with requests for information in CM/GC highway construction. Available at: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049190279&doi=10.1061%2F9780784481295.064&partnerID=40&md5=180433a2f24f2f-2bc0c0cfe17c6e30a5.
  42. Setiawan, T. H., Waluyo, S. P., & Sagara, A. (2019). The effects of design change on the completion time of Universitas multimedia Nusantara tower 3 construction project. Applied Science and Engineering Progress, 12(2), pp. 140–147.
  43. Sparksman, P. J. (2015). Quantifying the time and cost associated with the Request for Information (RFI) OR Technical Query (TQ) process-a designers perspective. University of Southern Queensland.
  44. Tesch, R. (1990). Qualitative Research—Analysis Types and Software Protocols. The Falmer Press, Hampshire, UK.
  45. Thanaki, J. (2017). Python Natural Language Processing. Packt Publishing Ltd., Birmingham.
  46. Tilley, P. A. (1998). Causes, Effects and Indicators of Design and Documentation Deficiency. Queensland University of Technology, Brisbane.
  47. Vaismoradi, M., & Snelgrove, S. (2019). Theme in qualitative content analysis and thematic analysis. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 20(3), Art. 23.
  48. Vijayarani, S., & Janani, R. (2016). Text mining: Open source tokenization tools–an analysis. Advanced Computational Intelligence, 3(1), pp. 37–47.
  49. Zaker, R., & Coloma, E. (2018). Virtual reality-integrated workflow in BIM-enabled projects collaboration and design review: A case study. Visualization in Engineering, 6(1), p. 4.
  50. Zhang, S. et al. (2015). BIM-based fall hazard identification and prevention in construction safety planning. Safety Science. doi: 10.1016/j.ssci.2014.08.001.
  51. Zou, Y., Kiviniemi, A., & Jones, S. W. (2017). A review of risk management through BIM and BIM-related technologies. Safety Science, 97, pp. 88–98.
DOI: https://doi.org/10.2478/otmcj-2020-0005 | Journal eISSN: 1847-6228 | Journal ISSN: 1847-5450
Language: English
Page range: 2083 - 2094
Submitted on: Dec 2, 2019
Accepted on: Feb 21, 2020
Published on: Apr 22, 2020
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2020 Mathieu Fokwa Soh, Daniel Barbeau, Sylvie Doré, Daniel Forgues, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.