Acknowledgement
본 논문은 한국연구재단의 이공분야기초연구사업 (과제번호 2021R1A2C1007467)과 국토교통부/국토교통과학기술진흥원의 "스마트건설기술개발 국가R&D사업(과제번호 21SMIP-A158708-02)"의 지원으로 수행된 연구입니다.
Proceedings of the Korean Institute of Building Construction Conference (한국건축시공학회:학술대회논문집)
- 2021.11a
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- Pages.10-11
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- 2021
Development of Construction Performance Indicators Using Artificial Neural Network and Discrete Construction Simulation for Earthmoving Operation
토공사 공정관리를 위한 이산형 건설시뮬레이션과 인공신경망 기반 건설성능지표 도출 방법론
Abstract
Demands for digital transformation of the construction industry are increasing to improve the accuracy of the construction operation planning and the performance of the construction operation. Even though large number of studies are being conducted to this date, most of the studies are not likely to be available on the real sites. Therefore, this study provides construction managers with a methodology of drawing construction performance indicators based on productivity analysis using Artificial Neural Network (ANN) models and Web-CYCLONE. This methodology is expected to have high utilization and precision of construction operation planning and management.
Keywords