DOI QR코드

DOI QR Code

기성콘크리트 부재의 현장생산 리스크 평가를 위한 체크리스트 개발

Development of Risk Evaluation Checklist for In-Situ Production of Precast Concrete Members

  • Lim, Jeeyoung (Department of Architectural Engineering, Pusan National University) ;
  • Jeong, Hee Woong (Department of Architectural Design, Dongseo University) ;
  • Kim, Dae Young (Department of Architectural Engineering, Pusan National University)
  • 투고 : 2021.09.03
  • 심사 : 2021.09.24
  • 발행 : 2021.10.20

초록

기성콘크리트 부재를 현장 생산하는 경우 공장생산보다 약 14.5-39.4%의 원가가 절감되는 것으로 이전 연구에서 확인되었다. 특히, PC공장 관계자의 인터뷰를 통해, 실제 공장주는 생산원가의 20% 이상의 이윤을 얻지 못하면 공장관리 간접비를 cover하지 못해 계약을 하지 않는 것으로 확인되었다. 그리고 동등한 조건에서 기성콘크리트 부재를 현장에서 생산한다면 공장생산 대비 동등 이상의 품질이 확보된다. 이 연구들에 따르면 원가와 품질 측면에 유리하므로 기성콘크리트 부재는 현장에서 생산하여야 한다. 그러나 주어진 공기뿐 아니라 현장생산을 위한 여러 가지 제약조건으로 모든 물량을 현장생산하기 어렵다. 그 이유는 현장생산은 프로젝트 관리 과정에서 발생할 수 있는 리스크로 인하여 기피하기 때문이다. 그러나 기성콘크리트 부재의 현장생산 수행 전 리스크 요인을 분석하고 그에 대응한다면 현장생산 기회를 높일 수 있다. 따라서 본 연구는 기성콘크리트 부재의 현장생산 리스크 평가를 위한 체크리스트를 개발한다. 체크리스트를 1개의 사례현장에 적용하여 리스크 요인을 쉽고 빠르게 평가할 수 있다는 것을 검증하였다. 그 결과 건폐율이 높은 현장의 경우 생산 및 야적을 위한 가용면적을 확보하기 어려워 리스크가 큰 현장으로 분류되는 것으로 분석되었다. 개발된 리스크 평가 체크리스트는 현장생산의 리스크요인을 효율적으로 평가하며, 프로젝트 수행 시 수시로 변경되는 리스크요인을 쉽고 빠르게 판단하여 상황에 따라 대처가 가능하다.

In previous studies, it was confirmed that through the in-situ production of precast concrete members, costs could be reduced by 14.5-39.4% compared to in-plant production. In particular, it was confirmed that the factory owner did not make a contract if it did not earn more than 20% of the production cost. If precast concrete members are produced in-situ under the same conditions, the quality equivalent to that of factory production can be secured. As it is advantageous in terms of cost and quality, precast concrete members must be produced in-situ. However, it is difficult to produce all quantities in-situ due to time and various other constraints. This is because in-situ production is avoided due to anticipated risks during the project management process. However, if the risk factors are analyzed before performing in-situ production of precast concrete members, it will increase the opportunity for in-situ production. Therefore, this study develops a checklist for evaluating the risk of in-situ production of precast concrete members. By applying the checklist to one case site, it was verified that risk factors can be evaluated easily and quickly. As a result, it was analyzed that sites with a high building coverage ratio are classified as high-risk sites because it is difficult to secure usable area for production and storage. The developed checklist efficiently evaluates the risk factors of in-site production, and makes it possible for the operator to determine the risk factors, which can change frequently during project execution, and respond according to the situation.

키워드

과제정보

This work was supported by a 2-Year Research Grant of Pusan National University.

참고문헌

  1. Hong WK, Lee GJ, Lee S, Kim SH. Algorithms for in-situ production layout of composite precast concrete members. Automation in Construction. 2014 May;41:50-9. https://doi.org/10.1016/j.autcon.2014.02.005
  2. Park SH, Lim CY, Lee WJ, Kim DS, Jung, YS. The experimental study on concrete manufacturing technologies for ultra high strength concrete pile. Proceeding of the 2013 Spring Annual Conference of the Korea Concrete Institute; 2013 May 8-10; Seoul, Korea. Seoul (Korea): the Korea Concrete Institute; 2013. p. 67-8.
  3. Won IW, Na YJ, Kim JT, Kim SK. Energy-efficient algorithms of the steam curing for the in situ production of precast concrete members. Energy and Building. 2013 Sep;64:275-84. https://doi.org/10.1016/j.enbuild.2013.05.019
  4. Kim SK, Hong WK, Kim JH, Kim JT. The development of modularized construction of enhanced precast composite structural systems (Smart Green frame) and its embedded energy efficiency. Energy and Building. 2013 Nov;66:16-21. https://doi.org/10.1016/j.enbuild.2013.07.023
  5. Lim J. A risk management model for in-situ production of precast concrete members focused on time and cost using system dynamics [Ph.D. Thesis]. [Seoul (Korea)]: Kyung Hee University; 2018. 54 p.
  6. Lim C. Construction planning model for in-situ production and installation of composite precast concrete frame [Ph.D. Thesis]. [Seoul (Korea)]: Kyung Hee University; 2016. 9 p.
  7. Oh OJ. A model for production and erection integration management of large scale PC structures using system dynamics [Ph.D. Thesis]. [Seoul (Korea)]: Kyung Hee University; 2017. 42 p.
  8. Lim J, Park K, Son S, Kim S. Cost reduction effects of in-situ PC production for heavily loaded long-span buildings. Journal of Asian Architecture and Building Engineering. 2020 Mar;19:242-53. https://doi.org/10.1080/13467581.2020.1740095
  9. Jung KO, Chung YK. The pollution and economic growth based on the multi-country comparative analysis. Journal of Industrial Economics and Business. 2004 Oct;17(4):1077-98.
  10. Lee GJ. A study of in-situ production management model of composite precast concrete members [Ph.D. Thesis]. [Seoul (Korea)]: Kyung Hee University; 2012. 77 p.
  11. Lim JY, Kim SK. Evaluation of CO2 emission reduction effect using in-situ production of precast concrete components. Journal of Asian Architecture and Building Engineering. 2020 Feb;19(2):176-86. https://doi.org/10.1080/13467581.2020.1726763
  12. Lim JY, Kim SK, Kim JJ. Dynamic simulation model for estimating in-situ production quantity of PC members. International Journal of Civil Engineering. 2020 Apr;18:935-50. https://doi.org/10.1007/s40999-020-00509-4
  13. Na YJ, Kim SK. A process for the efficient in-situ production of precast concrete members. Journal of the Regional Association of Architectural Institute of Korea. 2017 Oct;19(4):153-61.
  14. Pan M, Pan W. Advancing formwork systems for the production of precast concrete building elements: from manual to robotic. Proceedings of 2016 Modular and Offsite Construction (MOC) Summit; 2016 Sep 29-Oct 01; Edmonton, Canada. Alberta (Canada): Modular and Offsite Construction Summit; 2016. p. 2-9. https://doi.org/10.29173/mocs1
  15. Pan M, Pan W. Determinants of adoption of robotics in precast concrete production for buildings. Journal of Management in Engineering. 2019 Sep;35(5):05019007. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000706
  16. Pan W, Gibb AGF, Dainty ARJ. Strategies for integrating the use of off-site production technologies in house building. Journal of Construction Engineering and Management. 2012 Nov;138(11):1331-40. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000544
  17. Hwang BG, Shan M, Looi KY. Key constraints and mitigation strategies for prefabricated prefinished volumetric construction. Journal of Cleaner Production. 2018 May;183:183-93. https://doi.org/10.1016/j.jclepro.2018.02.136
  18. Mao C, Shen Q, Pan W, Ye K. Major barriers to off-site construction: The developer's perspective in China. Journal of Management in Engineering. 2015 May;31(3):04014043. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000246
  19. Arashpour M, Wakefield R, Abbasi B, Lee EWM, Minas J. Off-site construction optimization: Sequencing multiple job classes with time constraints. Automation in Construction. 2016 Nov;71:262-70. https://doi.org/10.1016/j.autcon.2016.08.001
  20. Pan M, Linner T, Pan W, Cheng H, Bock T. A framework of indicators for assessing construction automation and robotics in the sustainability context. Journal of Cleaner Production. 2018 May;182:82-95. https://doi.org/10.1016/j.jclepro.2018.02.053
  21. Lim J, Kim JJ. Dynamic optimization model for estimating in-situ production quantity of PC members to minimize environmental loads. Sustainability. 2020 Oct;12(19):8202. https://doi.org/10.3390/su12198202
  22. Kang SM, Kim OJ. Domestic and foreign present situation analysis of a PC method. Seoul (Korea): Daelim Technology Research Institute: Architecture(Spring); 2006. p. 28-37.
  23. Park JH, Kim SJ, Paik MS, Lee SH, Park B K, Jung SJ. An experimental study on strength characteristics of mass concrete cast with high-strength concrete for precast application. Proceeding of the 2007 Autumn Annual Conference of the Korea Concrete Institute; 2007 Nov 7-9; Seoul, Korea. Seoul (Korea): the Korea Concrete Institute; 2007. p. 585-8.
  24. Park H, Park S, Hong K, Kim S. Development of residential PC prefabricated building structure system. Construction Engineering and Management. 2011 Feb;12(1):11-6.
  25. Song KJ, Lee UK, An SH, Kang KI. PC production schedule optimization model using a genetic algorithms and random keys. Proceeding of the 2005 Autumn Annual Conference of the Architectural Institute of Korea; 2005 Oct 24-25; Seoul, Korea. Seoul (Korea): the Architectural Institute of Korea; 2005. p. 487-90.
  26. You YC, Choi KD, Kim KH, Lee LH. Mechanical bar anchorage of the PC in beam-column joint. Journal of the Architectural Institute of Korea. 2001 May;17(5):35-42.
  27. Yoon D, Hong W, Yoon T. Half slab construction for eco-friendly composite frame system. Proceeding of the 2010 Autumn Annual Conference of the Korea Institute of Building Construction; 2010 Nov 18-19; Suwon, Korea. Seoul (Korea): the Korea Institute of Building Construction; 2010. p. 15-8.
  28. Hong WK, Kim SK, Kim SI. Load carrying capacity of structural composite hybrid system (green frame). The International Journal of the Korea Institute of Ecological Architecture and Environment. 2010 Feb;10(1):25-31.
  29. Son SH, Lim JY, Kim SK. Planning algorithms for in-situ production of free-form concrete panels. Automation in Construction. 2018 Jul;91:83-91. https://doi.org/10.1016/j.autcon.2018.03.006
  30. Kang LS, Kim CH, Kwak JM. Analysis for the importance of risk factors through the project life cycle. Journal of the Architectural Institute of Korea(Structure & Construction). 2001 Aug;17(8):103-10.
  31. Chung BH, Chung YS. Analysis and reduction for risk factors of construction projects. Korean Journal of Construction Engineering and Management. 2001 Aug;2(4);62-8.
  32. Shin KH, Kim JJ. A Study on the importance of risk factors for effective risk management in the pre-project planning phase of the development projects. Korean Journal of Construction Engineering and Management. 2002 Mar;3(2):75-86.
  33. Suh SW, Kim JJ, Kim KR. A decision making model for construction risks using optimized response method. Journal of The Architectural Institute of Korea(Structure & Construction). 2002 Oct;18(8):115-22.
  34. Kang SK. A study on the risk management efficiency in the cost of apartment housing development [master's thesis]. [Seoul (Korea)]: Chung-Ang University; 2004. 86 p.
  35. Kim MH. A study on the method of the risk management in the real estate development project. Seoul (Korea): Construction and Economy Research Institute of Korea; 2005. 97 p.
  36. Lee JK, Lee JH. A study on the method of the risk management in the housing project. Journal of the Korea Institute of Ecological Architecture and Environment. 2008 Apr;8(2):79-86.
  37. Lim J, Son S, Kim JT, Kim S. Experimental study of in-situ production of precast concrete members, Proceeding of the 7th International Conference on Construction Engineering and Project Management(ICCEPM); 2017 Oct 27-30; Chengdu, China. Seoul (Korea): Korea Institute of Construction Engineering and Management; 2017. p. 98.