1887
Volume 2022, Issue 1
  • EISSN: 2223-506X

Abstract

The fourth dimension of building information modeling (BIM) plays a significant role in construction planning by linking the construction schedule to the existing building information model. However, a difficulty may arise concerning the ease with which a link can be made and modified. Pattern-based techniques that search for recurring processes can help eliminate this drawback by producing predefined process templates This paper critically examines the applicability of generating pre-defined process templates for BIM-based schedules using process pattern recognition techniques to reduce the effort of defining the construction schedules and integrating the templates into the BIM data. The technique estimates the level of recurrence of certain tasks within a schedule by applying several metrics. A real-life construction schedule from a housing project in the State of Kuwait was decomposed into numerous sub-schedules based on a set criterion to estimate the level of recurrence, the sub-schedules were compared based on structural and contextual similarities. The generated process templates produced demonstrated that the approach is ideal for projects with repetitive processes and that by utilizing the templates, linking building elements to tasks in 4D modeling can be greatly facilitated, thereby reducing the planning time. This study corroborates the results of previous literature, which found that the improvement in the efficiency of construction planning could be achieved by applying reusable process templates. The generated templates should enable the idea of storing the process templates in data banks for detecting undesired regularities in previous schedules in preparation for future use.

Loading

Article metrics loading...

/content/journals/10.5339/connect.2022.1
2022-01-31
2022-06-29
Loading full text...

Full text loading...

/deliver/fulltext/connect/2022/1/connect.2022.1.html?itemId=/content/journals/10.5339/connect.2022.1&mimeType=html&fmt=ahah

References

  1. Kuwait National Development Plan [Internet]. (n.d.) [cited 2020 Aug 16]. Available from: http://www.newkuwait.gov.kw/plan.aspx.
  2. Van Marrewijk A, Clegg SR, Pitsis TS, Veenswijk M. Managing public–private megaprojects: Paradoxes, complexity, and project design. International Journal of Project Management. 2008;26(6):591–600. https://doi.org/10.1016/j.ijproman.2007.09.007.
  3. Our Company Won the Tender for Kuwait International Airport's New Terminal Construction [Internet]. (n.d.) [cited 2020 Aug 16]. Available from: http://www.limak.com.tr/announcements/our-company-won-the-tender-for-kuwait-international-airports-new-terminal-construction.
  4. Kuwait International Airport [Internet]. (n.d.) [cited 2020 Aug 16]. Available from: https://www.fosterandpartners.com/projects/kuwait-international-airport/.
  5. Kuwait International Airport [Internet]. 2018 Mar 5 [cited 2020 Aug 16]. Available from: https://naco.nl/portfolio_page/kuwait-international-airport/.
  6. Hu Y, Chan APC, Le Y, Jin R-Z. From construction megaproject management to complex project management: Bibliographic analysis. Journal of Management in Engineering. 2015;31(4):04014052. https://doi.org/10.1061/(asce)me.1943-5479.0000254.
  7. Memon AH, Rahman IA, Azis AAA. Preliminary study on causative factors leading to construction cost overrun. International Journal of Sustainable Construction Engineering and Technology. 2011;2(1):57–71.
  8. Rosenfeld Y. Root-cause analysis of construction-cost overruns. Journal of Construction Engineering and Management. 2014;140(1):04013039. https://doi.org/10.1061/(asce)co.1943-7862.0000789.
  9. Abdulfattah NM, Khalafallah AM, Kartam NA. Lack of BIM training: Investigating practical solutions for the State of Kuwait. World Academy of Science, Engineering and Technology, International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering. 2017;11(8):1050–1056. https://doi.org/10.5281/ZENODO.1131846.
  10. Koushki PA, Al-Rashid K, Kartam N. Delays and cost increases in the construction of private residential projects in Kuwait. Construction Management and Economics. 2005;23(3):285–294. https://doi.org/10.1080/0144619042000326710.
  11. Al-Tabtabai HM. Causes for delays in construction projects in Kuwait. Engineering Journal of the University of Qatar. 2002;15:19–37.
  12. Singh R. Delays and cost overruns in infrastructure projects: An enquiry into extents, causes and remedies [master's thesis]. India: Delhi School of Economics; 2009. Available from: http://www.cdedse.org/pdf/work181.pdf.
  13. Becerik-Gerber B, Kensek K. Building information modeling in architecture, engineering, and construction: Emerging research directions and trends. Journal of Professional Issues in Engineering Education and Practice. 2010;136(3):139–147. https://doi.org/10.1061/(asce)ei.1943-5541.0000023.
  14. Kreider RG, Messner JI. The uses of BIM: Classifying and selecting BIM uses. State College, PA: Pennsylvania State University; 2013.
  15. Boton C, Kubicki S, Halin G. The challenge of level of development in 4D/BIM simulation across AEC project lifecycle. A case study. Procedia Engineering. 2015;123:59–67. https://doi.org/10.1016/j.proeng.2015.10.058.
  16. Büchmann-Slorup R, Andersson N. BIM-based scheduling of construction – A comparative analysis of prevailing and BIM-based scheduling processes. Applications of IT in the AEC industry: Proceeding of the 27th international conference of the CIB W78. Cairo, Egypt: Virginia Tech; November 2010. pp. 113–123.
  17. Duffey M, DiProfi V, Semproch D. The next dimension. Military Engineer. 2010;102(668):75–76.
  18. Leite F, Cho Y, Behzadan AH, Lee S, Choe S, Fang Y, et al. Visualization, information modeling, and simulation: Grand challenges in the construction industry. Journal of Computing in Civil Engineering. 2016;30(6):04016035. https://doi.org/10.1061/(asce)cp.1943-5487.0000604.
  19. Hamledari H, McCabe B, Davari S, Shahi A. Automated schedule and progress updating of IFC-based 4D BIMs. Journal of Computing in Civil Engineering. 2017;31(4):04017012. https://doi.org/10.1061/(asce)cp.1943-5487.0000660.
  20. Son H, Kim C, Cho YK. Automated schedule updates using as-built data and a 4D building information model. Journal of Management in Engineering. 2017;33(4):04017012. https://doi.org/10.1061/(asce)me.1943-5479.0000528.
  21. Kang JH, Anderson SD, Clayton MJ. Empirical study on the merit of web-based 4D visualization in collaborative construction planning and scheduling. Journal of Construction Engineering and Management. 2007;133(6):447–461. https://doi.org/10.1061/(asce)0733-9364(2007)133:6(447).
  22. Tulke J, Hanff J. 4D construction sequence planning – New process and data model. Proceedings of the CIBW78 24th international conference on information technology in construction, Maribor, Slovenia; 2007. pp. 79–84.
  23. Mikulakova E, König M, Tauscher E, Beucke K. Knowledge-based schedule generation and evaluation. Advanced Engineering Informatics. 2010;24(4):389–403. https://doi.org/10.1016/j.aei.2010.06.010.
  24. Charef R, Alaka H, Emmitt S. Beyond the third dimension of BIM: A systematic review of literature and assessment of professional views. Journal of Building Engineering. 2018;19:242–257. https://doi.org/10.1016/j.jobe.2018.04.028.
  25. Kim H, Anderson K, Lee S, Hildreth J. Generating construction schedules through automatic data extraction using open BIM (building information modeling) technology. Automation in Construction. 2013;35:285–295. https://doi.org/10.1016/j.autcon.2013.05.020.
  26. Liu H, Al-Hussein M, Lu M. BIM-based integrated approach for detailed construction scheduling under resource constraints. Automation in Construction. 2015;53:29–43. https://doi.org/10.1016/j.autcon.2015.03.008.
  27. Graham D, Smith SD. Estimating the productivity of cyclic construction operations using case-based reasoning. Advanced Engineering Informatics. 2004;18(1):17–28. https://doi.org/10.1016/j.aei.2004.03.001.
  28. Shekapure S, Thakare V. Problem solving using case based reasoning methodology. International Journal of Advanced Information and Communication Technology. 2015;1(11):881–887.
  29. Peña-Mora F, Vadhavkar S. Augmenting design patterns with design rationale. Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 1997;11(2):93–108. https://doi.org/10.1017/s089006040000189x.
  30. Chua DKH, Li DZ, Chan WT. Case-based reasoning approach in bid decision making. Journal of Construction Engineering and Management. 2001;127(1):35–45. https://doi.org/10.1061/(asce)0733-9364(2001)127:1(35).
  31. Rankin JH, Froese TM, Waugh LM. Exploring the application of case-based reasoning to computer-assisted construction planning. 8th international conference on durability of building materials and components, Vancouver, Canada; 1999. pp. 2526–2536.
  32. Raphael B, Domer B, Saitta S, Smith IFC. Incremental development of CBR strategies for computing project cost probabilities. Advanced Engineering Informatics. 2007;21(3):311–321. https://doi.org/10.1016/j.aei.2007.02.001.
  33. Tauscher E, Mikulakova E, König M, Beucke K. Generating construction schedules with case-based reasoning support. Computing in Civil Engineering. 2007:119–126. https://doi.org/10.1061/40937(261)15.
  34. Wu I-C, Borrmann A, Beißert U, König M, Rank E. Bridge construction schedule generation with pattern-based construction methods and constraint-based simulation. Advanced Engineering Informatics. 2010;24(4):379–388. https://doi.org/10.1016/j.aei.2010.07.002.
  35. Huhnt W, Richter S, Wallner S, Habashi T, Krämer T. Data management for animation of construction processes. Advanced Engineering Informatics. 2010;24(4):404–416. https://doi.org/10.1016/j.aei.2010.07.009.
  36. Benevolenskiy A, Roos K, Katranuschkov P, Scherer RJ. Construction processes configuration using process patterns. Advanced Engineering Informatics. 2012;26(4):727–736. https://doi.org/10.1016/j.aei.2012.04.003.
  37. Scherer R, Sharmak W. Process risk management using configurable process models. In: Camarinha-Matos LM, Pereira-Klen A, Afsarmanesh H, editors. Adaptation and value creating collaborative networks. IFIP advances in information and communication technology. Vol. 362. Berlin: Springer; 2011. pp. 341–348. https://doi.org/10.1007/978-3-642-23330-2_38.
  38. Sigalov K, König M. Recognition of process patterns for BIM-based construction schedules. Advanced Engineering Informatics. 2017;33:456–472. https://doi.org/10.1016/j.aei.2016.12.003.
  39. Yan Z, Dijkman R, Grefen P. Fast business process similarity search with feature-based similarity estimation. In: Meersman R, Dillon T, Herrero P, editors. On the move to meaningful internet systems: OTM 2010. Lecture notes in computer science. Vol. 6426. Berlin: Springer; 2010. pp. 60–77. https://doi.org/10.1007/978-3-642-16934-2_8.
  40. Hartmann V, Beucke KE, Shapir K, König M. Model-based scheduling for construction planning. 14th International Conference on Computing in Civil and Building Engineering; June 2012. pp. 27–29.
  41. Ridder HG. The theory contribution of case study research designs. Business Research. 2017;10(2):281–305. https://doi.org/10.1007/s40685-017-0045-z.
  42. Public Authority for Housing Welfare. Handbook of the emerging Arab engineer. Vol. 3. Kuwait: League of Arab States; 2013.
  43. Saaty TL. Decision making with the analytic hierarchy process. International Journal of Services Sciences. 2008;1(1):83–98. https://doi.org/10.1504/IJSSCI.2008.017590.
http://instance.metastore.ingenta.com/content/journals/10.5339/connect.2022.1
Loading
/content/journals/10.5339/connect.2022.1
Loading

Data & Media loading...

  • Article Type: Research Article
Keyword(s): 4D BIMconstruction planningprocess pattern recognition and process templates
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error