대한건축학회논문집 (Journal of the Architectural Institute of Korea)

  • 제38권9호
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  • Pages.297-307
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  • 2022
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  • 2733-6239(pISSN)
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  • 2733-6247(eISSN)
대한건축학회 (Architectural Institute of Korea)
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DOI QR코드

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대기행렬을 활용한 최적의 자원 할당 의사 결정 방법 제안 연구 - 대규모 공동주택 기초 콘크리트 타설 공사를 중심으로 -

A Study on the Proposal of Optimal Resource Allocation Decision-Making Method Using Queueing Model - Focusing on the Large-Scale apartment houses foundation concrete work -

  • 오정인 (한양대 일반대학원 건축공학과) ;
  • 위경수 (한양대 일반대학원 건축공학과) ;
  • 노석호 (한양대 일반대학원 건축공학과) ;
  • 김재준 (한양대 건축공학부)
  • Oh, Jeong-In (Dept. of Architectural Engineering, Hanyang University) ;
  • Wee, Kyung-Soo (Dept. of Architectural Engineering, Hanyang University) ;
  • Noh, Seok-Ho (Dept. of Architectural Engineering, Hanyang University) ;
  • Kim, Jae-Jun (Dept. of Architectural Engineering, Hanyang University)
  • 투고 : 2022.05.26
  • 심사 : 2022.08.18
  • 발행 : 2022.09.30
⟨ 이전 논문 다음 논문 ⟩

초록

The purpose of this study is to help the construction manager make decisions in progressing the construction plan by proposing the optimal decision method using the Queueing Model. Resource management can determine the success of construction. Many studies have been proposed for resource management, but have not been evaluated objectively and quantitatively. In this paper, we analyze the process plan to be redesigned according to the productivity evaluation through the optimal resource allocation decision- making method. First, analysis of case projects and queuing models. Second, the optimal number of servers is determined through economic analysis after resource allocation. Third, enter the date and quantity in the BIM to suggest the best decision method. Through the proposed method, 22.6% (24.74 million won) could be saved compared to the existing plan. The productivity of the process plan could be evaluated objectively and quantitatively. As a result, the optimal decision-making method using queueing model can help reduce costs and help construction managers make decisions by redesigning process plans based on productivity assessments.

키워드

참고문헌

  1. Cho, T. J., & Choi, J. S. (2011). Case studies: schedule delay factors and delay prevention program for concrete frame works in apartment construction project. Journal of the Korea Institute of Building Construction, 11(1), 9-17. https://doi.org/10.5345/JKIC.2011.02.1.009
  2. Chu, H. K., & Kim, S. G. (2003). A Development of the Risk Identification Checklist through the Re-establishment of Risk Breakdown Structure of Construction Project. Korean Journal of Construction Engineering and Management, 4(2), 109-117
  3. Dabirian, S., Abbaspour, S., Khanzadi, M., & Ahmadi, M. (2019). Dynamic modelling of human resource allocation in construction projects. International Journal of Construction Management, 1-10.
  4. El-Rayes, K., & Jun, D. H. (2009). Optimizing resource leveling in construction projects. Journal of Construction Engineering and Management, 135(11), 1172-1180. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000097
  5. Getuli, V., Ventura, S. M., Capone, P., & Ciribini, A. L. (2016). A BIM-based construction supply chain framework for monitoring progress and coordination of site activities. Procedia Engineering, 164, 542-549. https://doi.org/10.1016/j.proeng.2016.11.656
  6. Ham, N. H., Kim, W. G., & Kim, J. J. (2020). BIM based Construction Project Case Analysis for Facility Life Cycle Management from the Perspective of the Client. Journal of KIBIM, 10(3), 12-21. https://doi.org/10.13161/KIBIM.2020.10.3.012
  7. Ham, N. H., Yuh, O. K., & Ji, K. H. (2018). Empirical Evaluation of BIM Coordinator Performance using Queuing Model in Construction Phase. Journal of KIBIM, 8(3), 31-42. https://doi.org/10.13161/KIBIM.2018.8.3.031
  8. Ham, N., Moon, S., Kim, J. H., & Kim, J. J. (2020). Optimal BIM staffing in construction projects using a queueing model. Automation in Construction, 113, 103123. https://doi.org/10.1016/j.autcon.2020.103123
  9. Hegazy, T. (1999). Optimization of resource allocation and leveling using genetic algorithms. Journal of construction engineering and management, 125(3), 167-175. https://doi.org/10.1061/(ASCE)0733-9364(1999)125:3(167)
  10. Hillier, F. S., & Hillier, M. S. (2014). Introduction to Management Science: A Modeling and Case Studies Approach With Spreadsheets, fiveth ed., McGraw-Hill Education, New York.
  11. Hillier, F. S., & Liebernman, G. J. (2013). Introduction to Operation Research, ninth ed., McGraw-Hill Education Korea Inc.
  12. Jeong, J., Seo, J., Park, H., & Choo, S. (2019). A Study on the Implementation and Verification of 4D and 5D Design Support Algorithm Using BIM Attribute Information-Focusing on Process Simulation and Quantity Calculation. Journal of the Korean Architectural Association, 21(4), 15-26.
  13. Kang, D., Shim, J., Kim, Y., Cho, K., & Hyun, C. (2010). A study on the productivity analysis of superstructure construction for multi-housing projects using construction simulation. Journal of the Architectural Institute of Korea, 26(4), 123-131.
  14. 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), 31-39. https://doi.org/10.13161/KIBIM.2017.031
  15. Kim, H., & Kang, L. (2016). Development of Active 5D CAD System for Replaning Progress Schedule According to Change of Project Cost. Korean Journal of Construction Engineering and Management, 17(5), 54-61. https://doi.org/10.6106/KJCEM.2016.17.5.054
  16. Kim, M. W., Hwang, I. H., & Ock, J. H. (2013). A Study on Modular System Efficiency using 5D BIM Tool. In Proceedings of the Korean Institute of Building Construction Conference (pp. 208-209). The Korean Institute of Building Construction.
  17. Kim, S. K., Seo, J. M., & Ho, J. K. (2008). A study on the selection and stability of slings and lugs of mobile cranes. Korean Journal of Construction Engineering and Management, 9(6), 164-174.
  18. Kim, W. G., Ham, N., & Kim, J. J. (2021). Enhanced Subcontractors Allocation for Apartment Construction Project Applying Conceptual 4D Digital Twin Framework. Sustainability, 13(21), 11784 https://doi.org/10.3390/su132111784
  19. Lee, D. U., & Yun, S. H. (2018). Improvement of Construction Management Process for the Site Manager in Small Scale Building Construction Project. Journal of the Korea Institute of Building Construction, 18(1), 81-87. https://doi.org/10.5345/JKIBC.2018.18.1.081
  20. Lee, J. C. (2016). Implementation of Customized 4D and 5D System based on BIM. Journal of the Korea Academia-Industrial cooperation Society, 17(8), 55-61. https://doi.org/10.5762/KAIS.2016.17.8.55
  21. Lee, J. S. (2006). Impacts of pre-construction design quality on construction durations and costs. Journal of the Architectural Institute of Korea Structure & Construction, Architectural Institute of Korea, 22(5), 219-226.
  22. Lee, J. S., Kwon, N., Ham, N. H., Kim, J. J., & Ahn, Y. H. (2019). BIM-based digital fabrication process for a free-form building project in South Korea. Advances in Civil Engineering, 2019.
  23. Lee, K., Shin, J., Kwon, S., & Park, J. (2016). A Study of the Establishment of Small and Medium Sized Architectural Design Firm BIM Environment based on Virtual Desktop Infrastructure. Korean Journal of Construction Engineering and Management, 17(5), 78-88. https://doi.org/10.6106/KJCEM.2016.17.5.078
  24. Lee, M. W., Park, H. P., Shin, E. Y., Kim, K. H., Lee, K. S., & Kang, T. K. (2006). A basic study on the application possibility of the RFID system in re-bar work. Journal of Architectural Institute of Korea, Architectural Institude of Korea, 22(10), 129-136.
  25. Lee, Y. S. (2003). Development of construction cost model through the analysis of critical work items. Korean Journal of Construction Engineering and Management, 4(4), 212-219.
  26. Park, M. (2005). Model-based dynamic resource management for construction projects. Automation in construction, 14(5), 585-598. https://doi.org/10.1016/j.autcon.2004.11.001
  27. Seo, J., & Kim, I. (2009). A Study on the basic directions for introducing and applying building information modeling in the public construction project delivery. Journal of the Architectural Institute of Korea, 25(9), 21-30.
  28. Shin, J., Choi, J., Kim, I., & Yoon, D. (2016). A study on development of integrated management system for BIM property information. Korean Journal of Computational Design and Engineering, 21(2), 130-142. https://doi.org/10.7315/CADCAM.2016.130
  29. Son, C. B., & Kim, B. L. (2006). Improvement of the field management work and operation system in the apartment construction. Journal of the Architectural Institute of Korea, 22(6), 165-72.
  30. Taghaddos, H., Hermann, U., AbouRizk, S., & Mohamed, Y. (2010, August). Simulation-based scheduling of modular construction using multi-agent resource allocation. In 2010 Second International Conference on Advances in System Simulation (pp. 115-120). IEEE.
  31. Teknomo, K. (2012). Queuing rule of thumb based on M/M/s queuing theory with applications in construction management. Civil Engineering Dimension, 14(3), 139-146.
  32. Wee, K. S., Noh, S. H., Ham, N. H., & Kim, J. J. (2021). A Study on the Improvement of the Large-scale Apartment Foundation Concrete Pouring Work in South Korea Resource Management using the Queueing Model. Journal of the Architectural Institute of Korea, 37(9), 227-235. https://doi.org/10.5659/JAIK.2021.37.9.227
  33. Wee, K., Ham, N., & Kim, J. J. (2022). Microscopical Resource Allocation for Large-Scale Apartment Foundation Work Using Queuing Systems. Buildings, 12(2), 89 https://doi.org/10.3390/buildings12020089
  34. Willis, E. M. (1986). Scheduling construction projects. John Wiley & Sons.
  35. Youn, C. S., & Kim, Y. B. (2012). Analysis of results and practical application trends for the application of BIM-based quantity calculation (5D) system. Construction Engineering and Management,13(3), 4-7