한국건설관리학회논문집 (Korean Journal of Construction Engineering and Management)

  • 제17권1호
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  • Pages.3-9
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  • 2016
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  • 2005-6095(pISSN)
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  • 2465-9703(eISSN)
한국건설관리학회 (Korea Institute of Construction Engineering and Management)
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사례기반추론을 이용한 개략비용 예측시스템 개발 - 토양경작법 정화비용사례를 중심으로 적용가능성 검토 -

Development of Approximate Cost Estimation System Based on CBRT echnique; Applicability Study for Landfarming Soil Remedation Technology

  • 투고 : 2015.04.30
  • 심사 : 2015.12.19
  • 발행 : 2016.01.31
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초록

가중사례기반추론 알고리즘을 이용하여 Excel VBA 기반의 개략비용 예측시스템을 개발하였다. 개발 시스템의 특징은 사례학습과 신규추정시 학습사례건수와 신규추정건수 만큼의 시트를 자동생성하며, 각각의 시트는 셀수식이 자동으로 입력되어 시스템의 활용성을 고려하였으며, 또한 영향인자를 최대 10개까지 선택이 가능하도록 하여 영향인자의 조합을 자유롭게 구성할 수 있도록 하였다. 개발한 비용예측시스템을 토양경작법 정화비용예측에 이용하여 토양정화 예측모델의 적용가능성을 검토하였다. 평균단가 예측모델은 물론 최적다중회귀 예측모델보다 개선된 결과를 확인하였다. 본 연구에서는 토양경작법을 대상으로 검토 하였으나 토양정화기술과 오염물질 종류 등 다양한 시나리오가 나타나는 토양정화사업분야에 사례기반추론을 이용한 비용예측모델은 향후 사례데이터 축적과 더불어 적용가능성이 커질 것으로 기대된다

This study proposes a approximate cost estimation system based on Excel with VBA using weighted CBR(Case Based Reasoning). One characteristic of this system is that it generates the sheet automatically as many as the number of similar case and new estimation when it performs a case learning and a new estimate and cell formula is automatically entered into each sheet. User can be free to compose a combination of attribute factors because they can select up to ten attribute factors. This paper presents an applicability of estimation model for estimating the soil remediation cost when it use a landfarming method. When compared to a estimation model by using average unit cost and optimum multiple regression, this model shows a better result. This study was aimed at landfarming method, but it is expected that a cost estimation model using CBR will be more likely to apply in soil remediation technologies which various remediation technologies and pollutant species exist.

키워드

참고문헌

  1. An, S. H., and Kang, K. I. (2005). "A Study on Predicting Construction Cost of Apartment Housing Using Experts' Knowledge at the Early Stage of Projects", Journal of the Architectural Institute of Korea Structure & Construction, 21(6), pp. 81-88.
  2. Hyun, C. T., Hong, T. H., Son, M. J., Kim, Y. S., and Jang, D. W. (2009). "Development of the Construction Cost Prediction Model Based on Case-Based Reasoning in the Planning Phase of Mega-Project", Journal of the Architectural Institute of Korea Structure & Construction, 25(9), pp. 181-190.
  3. Jeon, G. Y., Cho, J. Y., and Huh, Y. (2013). "Development of Approximate Cost Estimate Model for Aqueduct Bridges Restoration -Focusing on Comparison between Regression Analysis and Case-Based Reasoning-", Journal of the Korean Society of Civil Engineers, 33(4), pp. 1693-1705. https://doi.org/10.12652/Ksce.2013.33.4.1693
  4. Jung, M. S., Kyung, K. S., Jeon, E. K., and Kwon, S. C . (2011). "Computation and Verification of Approximate Construction cost of Steel Box Girder Bridge by using Case-Based Reasoning", International Journal of Steel Structure, 23(5), pp. 557-568.
  5. Kang, B. J., Cho, J. H., Lee, J. S., Lee, J. S., and Chun, J. Y. (2010). "Development of Quantity-based Reinforced Concrete Structural Construction Cost Estimating System using CBR+GA Model - Focused on Government Office Building", Journal of the Architectural Institute of Korea Structure & Construction, 26(3), pp. 139-146.
  6. Kang, C.S., Lee, G.H., Kim, K.M., and Kim, K.J. (2008). "Approximate Estimating Model Using the Case Based Reasoning - PSC BEAM Bridge", Proceedings of KICEM Anunual Conference. pp. 445-448
  7. Kim, G.H, and Kang, K.I (2004). "A Study on Predicting Construction Cost of Apartment Housing Projects Based on Case Based Reasoning Technique at the Early Project Stage", Journal of the architectural institute of Korea Structure & Construction, 20(5), pp. 83-92
  8. Kim, G. H., An, S. H., and Cho, H. K. (2006). "Comparison of the Accuracy between Cost Prediction Models based on Neural Network and Genetic Algorithm - Focused on Apartment Housing Project Cost", Journal of the Architectural Institute of Korea Structure & Construction, 22(3), pp. 111-118.
  9. Kim, M. J., Moon, H. S., and Kang, L. S. (2013). "Development of an Approximate Cost Estimating Model for Bridge Construction Project using CBR Method", Korean Journal of Construction Engineering and Management, KICEM, 14(3), pp. 42-52. https://doi.org/10.6106/kJCEM.2013.14.3.042
  10. Kwak, S. N., Kim, D. Y. , Kim, B. I. , Choi, S. J., and Han, S. H. (2009). "Cost Prediction Models in the Early Stage of the Roadway Planning and Designbased on Limited Available Information", Korean Journal of Construction Engineering and Management, KICEM, 10(4), pp. 87-99.
  11. Lee, H. S., Lee, H. K., Park, M. S., Kim, S. Y., and Ahn, J. (2012). "Conceptual Cost Estimating System Development for Public Apartment Projects", Korean Journal of Construction Engineering and Management, KICEM, 13(4), pp. 152-163. https://doi.org/10.6106/KJCEM.2012.13.4.152
  12. Ministry of Environment (2010). Plans of Standardization and Competitiveness for the activation of Soil remediation industry.
  13. Park, Moon-Soo, Seong, Ki-Hoon, Lee, Hyun-Soo, Ji, Sae-Hyun, and Kim, Soo-Young (2010). "Schematic Cost Estimation Method using Case-Based Reasoning: Focusing on Determining Attribute Weight", Korean Journal of Construction Engineering and Management, KICEM, 11(4), pp. 22-30. https://doi.org/10.6106/KJCEM.2010.11.4.22
  14. Park, Y., Shin, J., Lee, B., Hwang, H., and Lee, S. (2013). Statistical Data Analysis on Excel, Kyungmoon Publishers, pp. 295-329.
  15. Seo, J. K., Kim, S. M., Cho, J. H., and Chun, J. Y. (2010). "Supporting Model of Cost Planning using Case-Based Reasoning in Pre-design Phase - Focused on the Case of Public Office Building", Journal of the Architectural Institute of Korea Structure & Construction, 26(4), pp. 159-168.
  16. Ueda, T., Kobayashi, M., and Huchigami, M. (2004). Introduction of Regression Analysis on Excel, Ohmsha, pp. 102-132.