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Prediction Model Development of Defect Repair Cost for Apartment House according to Performance Data

실적 자료에 의한 공동주택 하자보수비용 예측모형 개발 방안

  • Kim, Byung-Ok (Department of Architectural Engineering, Dong-Eui University) ;
  • Je, Yeong-Deuk (Graduate School, Dong-Eui University) ;
  • Song, Ho-San (Department of Architectural Engineering, Dong-Eui University) ;
  • Lee, Sang-Beom (Department of Architectural Engineering, Dong-Eui University)
  • Received : 2011.05.31
  • Accepted : 2011.08.13
  • Published : 2011.10.20

Abstract

The work of constructing apartment housing involves various fields of industry that are linked to each other, and is based on a design document prepared by multiple technicians and architects. Consequently, design errors, material flaws or faulty construction works can cause defects, which sometimes overlap with each other. Construction companies should repair any defects found in a completed building within a specified period of time, and to do this, should establish a business plan by efficiently predicting the cost of defect repair. As it is very difficult for companies to accurately predict the occurrence of defects, historical performance data is used as a base. For domestic apartment housing units, data on the cost of defect repair is insufficient, so there are hardly any methods that can be used to make precise predictions. Therefore, the intent of this study is to develop a model that can predict the cost of defect repair by supply type and area, based on historical performance data with ten years worth of post-completion.

공동주택 건설공사는 많은 기술자들이 참여하여 작성한 설계 도서를 토대로 다양한 공종이 연계되어 발생되며, 이로 인해 예기치 못한 설계상 실수나 자재 결함 및 공사 중의 잘못이 중첩되어 하자가 발생하게 된다. 건설업체는 준공된 건축물을 일정기간 동안 하자보수를 실시해야 하며, 이를 위해 하자보수비용을 효율적으로 예측하여 사업계획을 수립하게 된다. 하자발생은 정확한 예측이 어렵기 때문에 실적자료를 기반으로 예측하게 된다. 국내 공동주택의 경우 하자보수비용 관련 자료가 미흡하여 이를 예측하는 방안 등이 거의 없는 실정이다. 따라서 본 연구에서는 준공후 10년의 실적자료를 기반으로 공급유형 및 지역별 하자보수비용을 예측할 수 있는 모형을 개발하고자 한다.

Keywords

References

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