Korean Journal of Construction Engineering and Management (한국건설관리학회논문집)

Korea Institute of Construction Engineering and Management (한국건설관리학회)
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A Layout Planning Optimization Model for Finishing Work

건축물 마감공사 자재 배치 최적화 모델

  • Received : 2010.08.09
  • Accepted : 2010.11.24
  • Published : 2011.01.31
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Abstract

Unnecessary transportation of resources are one of the major causes that adversely affect construction site work productivity. Therefore, layout related studies have been conducted with efforts to develop management technologies and techniques to minimize the resource transportation made at site-level. However, although the necessity for floor-level layout planning studies has been increasing as buildings have become larger and floors have become more complicated, studies to optimize the transportation of materials inside buildings are currently not being actively conducted. Therefore, in this study, a model was developed using genetic algorithms(GA) that will enable the optimization of the locations of finishing materials on the work-floor. With the established model, the arrangement of diverse materials on complicated floors can be planned and the optimized material layout planning derived from the model can minimize the total material transportation time spent by laborers during their working day. In addition, to calculate travel distances between work sites and materials realistically, the concept of actual travel distances was applied. To identify the applicability of the developed model and compare it with existing methodologies and analyze it, the model was applied to actual high-rise residential complexes.

불필요한 자원 이동 및 운반은 건설 현장 작업 생산성에 부정적인 영향을 미치는 주요 원인 중 하나이다. 이에 따라 레이아웃 관련 연구들은 사이트 수준에서 이뤄지는 자원의 이동 및 운반을 최소화하기 위한 관리 기술과 기법들을 개발하기 위해서 노력하였다. 더불어 건축물이 대형화되고 평면이 복잡해지면서 작업층 내 레이아웃 연구의 필요성도 제기되었으나, 현재 건물 내부 자재 이동 및 운반에 대한 최적화 연구는 활발히 이루어지지 않고 있는 실정이다. 따라서 본 연구에서는 유전 알고리즘을 이용하여 작업층 내 마감 자재의 위치를 최적화할 수 있는 모델을 개발하였다. 구축된 모델은 복잡한 건축 평면 위에서 다양한 자재들의 배치를 계획할 수 있으며, 이때 모델로부터 도출된 최적화된 자재 배치 계획은 작업 당일 작업자에 의한 총 자재 운반 시간을 최소화할 수 있다. 또한 작업과 자재 간 운반거리를 현실적으로 산정하기 위해서 실제 운반 거리 개념을 적용하였다. 개발된 모델의 적용성을 확인하고 기존 방법론과의 비교/분석을 위해서 실제 고층 주상복합 아파트를 대상으로 모델을 적용하였다.

Keywords

References

  1. 문병로 (2008). 쉽게 배우는 유전 알고리즘, 초판, 한빛미디어, 서울, pp.23-34
  2. Alarcon, L. (1993). Modeling waste and performance in construction. Lean Construction, A.A. Balkema, The Netherlands, pp. 51-66.
  3. Akinci, B., Fischer, M. and Kunz, J. (2002). "Automated Generation of Work Space Required by Construction Activities." Journal of Construction Engineering and Management, 128(4), pp.306-315. https://doi.org/10.1061/(ASCE)0733-9364(2002)128:4(306)
  4. Cheng, M. Y., and O' Connor, J. T. (1996). ""ArcSite: Enhanced GIS for construction site layout"" Journal of Construction Engineering & Management, 122(4), pp. 329-336 https://doi.org/10.1061/(ASCE)0733-9364(1996)122:4(329)
  5. El-Rayes, K. and Said, H. (2009). "Dynamic Site Layout Planning Using Approximate Dynamic Programming." Journal of Computing in Civil Engineering, 23(2), pp. 119-127. https://doi.org/10.1061/(ASCE)0887-3801(2009)23:2(119)
  6. Goldberg, D. E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley, U.S.A., pp. 1-24.
  7. Guo, S. (2002). "Identification and Resolution of Work SpaceConflicts in Building Construction."Journal of Construction Engineering and Management, 128(4), pp. 287-295. https://doi.org/10.1061/(ASCE)0733-9364(2002)128:4(287)
  8. Hegazy, T., and Elbeltagi, E. (2009)." EVOSITE: Evolution- Based Model for Site Layout Planning."Journal of Computing in Civil Engineering, 13(3), pp. 198-206.
  9. Jang, H. (2003) "Construction Materials Allocation with Genetic Algorithm." Architectural Research, 5(1), pp.77-83.
  10. Jang, H. Lee, S., and Choi, S. (2007). "Optimization of floor-level construction material layout using Genetic Algorithms."Automation in Construction, 16, pp.531-545. https://doi.org/10.1016/j.autcon.2006.09.006
  11. Li, H., and Love, P. E. D. (1998)." Site-level facilities using genetic algorithms."Journal of Computing in Civil Engineering, 12(4), pp.227-231. https://doi.org/10.1061/(ASCE)0887-3801(1998)12:4(227)
  12. Li, H., and Love, P. E. D. (2000). "Genetic search for solving construction site-level unequal area facility layout problems." Automation in Construction, 9, pp.217-226. https://doi.org/10.1016/S0926-5805(99)00006-0
  13. Rilett, L. R. and Park, D. (2001). "Incorporating uncertainty and multiple objectives in real-time route selection." Journal of Transportation and Engineering. 127(6). pp.531-539. https://doi.org/10.1061/(ASCE)0733-947X(2001)127:6(531)
  14. Sanad, H. M., Ammar, M.. A., and E. lbrahim, M. (2008). "Optimal Construction Site Layout Considering Safety and Environment Aspects."Journal of Construction Engineering and Management, 134(7), pp.536-544. https://doi.org/10.1061/(ASCE)0733-9364(2008)134:7(536)
  15. Serpell, A., Venturi, A., and Contreras, J. (1995). Characterization of waste in building construction projects. Lean Construction, A.A. Balkema, The Netherlands, pp.67-77.
  16. Thomas, H. R., Horman, M. D., de Souza, U., and Zavoski, I. (2002). "Reducing variability to improve performance as a lean construction principle."Journal of Construction Engineering and Management, 128(2), 144-154. https://doi.org/10.1061/(ASCE)0733-9364(2002)128:2(144)
  17. Tommelein, I. D., Levitt, R. E., and Hayes-Roth, B. (1992). "Sight Plan model for site layout."Journal of Construction Engineering and Management, 128(3), pp. 220-231
  18. Zouein, P. P., and Tommelein, I. D. (1999)." Dynamic Layout Planning Using a Hybrid Incremental Solution Method."Journal of Construction Engineering and Management, 125(6), pp.400-408. https://doi.org/10.1061/(ASCE)0733-9364(1999)125:6(400)
  19. Zouein, P. P., and Tommelein, I. D. (2001). "Improvement Algorithms for Limited Space Scheduling."Journal of Construction Engineering and Management, 127(2), pp.116-124. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:2(116)
  20. Zouein, P. P., Harmanani, H., and Hajar, A. (2002). "Genetic Algorithm for Solving Site Layout Problem with Unequal-Size and Constrained Facilities." Journal of Computing in Civil Engineering, 16(2), pp.143-151. https://doi.org/10.1061/(ASCE)0887-3801(2002)16:2(143)

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