Acknowledgement
본 논문은 국토교통부/국토교통과학기술진흥원이 시행, 한국도로공사가 총괄하는 "스마트건설기술개발 국가R&D사업(과제번호 21SMIP-A158708-03)"의 지원으로 수행된 연구임을 밝히며 이에 감사를 드립니다.
Optimal fleet management in the planning stage is one of the most critical activities that guarantee successful construction projects. In South Korea, the construction standard production rate database (CSPRD) is normally employed. However, when it comes to a trade-off problem that involves decision-making on optimal sets of equipment to perform a certain task, the method will require the planners' in-depth knowledge and experience regarding the target process and a time consuming estimation of the performance of every possible scenario must be conducted for the deduction of the optimal fleet management. On this account, this research paper proposes a lightweight method of using mixed integer nonlinear programming (MINLP) in multi-objective problems based on CSPRD-based mathematical equations to assist planners in the preplanning stage of choosing the optimal sets of types and size machinery to efficiently arrange the construction scheduling and budgeting.
본 논문은 국토교통부/국토교통과학기술진흥원이 시행, 한국도로공사가 총괄하는 "스마트건설기술개발 국가R&D사업(과제번호 21SMIP-A158708-03)"의 지원으로 수행된 연구임을 밝히며 이에 감사를 드립니다.