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토공사 건설공정계획 지원을 위한 이산형 건설시뮬레이션과 인공신경망 기반 생산성 예측 방법론 개발
정다현 ( Jung Dahyun ),임소민 ( Im Somin ),오정환 ( Oh Jeonghwan ),이재우 ( Lee Jaewoo ),한승우 ( Han Seungwoo ) 한국건축시공학회 2021 한국건축시공학회 학술발표대회 논문집 Vol.21 No.1
Construction operation planning based on productivity analysis is essential for successful construction management in the construction industry. Up to this date, however, productivity analysis is not yet conducted with accurate data. Therefore, this study analyzes productivity depending on combinations of equipment and state of roads that dump trucks travel on, using construction simulation based on data collected in actual earthmoving construction sites, and develops methodology of predicting productivity for construction sites with varying conditions using Artificial Neural Network(ANN) model.