S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Architecture and Architectural Engineering (건축학과) Journal Papers (저널논문_건축학과)
유전자알고리즘을 이용한 공기-비용 절충방안 - 초고층 마감공사를 중심으로
Scheduling Method by Using Genetic Algorithms to Solve Time-Cost Trade-Off Problems - Focused on High-rise Building Finishing Work
- 노산; 이현수; 박문서; 류한국
- Issue Date
- 대한건축학회논문집 구조계, 22(6), pp.157-164
- 옵션; 초고층 건축물; 마감작업; 공기-비용 절충; 유전자 알고리즘; 택트; Option; High-rise Building; Finishing Work; Time-Cost Trade-Off; Genetic Algorithms; Tact
- As buildings are high-rised, diversified, complex and large-sized, it is necessary to develop a more efficient algorithm for good and optimal solutions for construction project. High-rise building is composed of repetitive activities. Tact, one of the well structured management system for the repetition is proposed to manage scheduling technique in this paper and a process is suggested to solve Time-Cost Trade-Off Problem(TCTP). Time-Cost Trade-Off is a scheduling method to shorten the duration within a minimum added cost. Traditional Time-Cost Trade-Off analysis assumes that time and cost of an option for an activity are deterministic and focus on the techniques to minimize construction cost and time. However, method for generating the options is not studied to solve the TCTP in the previous studies. Therefore, the objective of this study is to help construction manager make a decision by proposing the option generating method and the relationship of time and cost according to these options using genetic algorithm for high-rise building finishing work.