[논문]우선순위 규칙을 적용한 BIM 기반 설계검증 성과 분석

허승하; 심재형; 함남혁; 김재준

doi:10.13161/kibim.2021.11.3.001

우선순위 규칙을 적용한 BIM 기반 설계검증 성과 분석
BIM-based Design Verification Performance Analysis with Priority Rules Applied 원문보기

Journal of KIBIM = 한국BIM학회논문집, v.11 no.3, 2021년, pp.1 - 11

허승하 (한양대학교 건축공학과) , 심재형 (한양대학교 건축공학과) , 함남혁 (한양사이버대학교 건축도시건설공학부) , 김재준 (한양대학교 건축공학부)

Abstract ▼ AI-Helper

BIM is one of the means of reducing the economic loss caused by design errors. These features of BIM have led to increased use of BIM. With the increasing use of BIM, several studies have been conducted to analyze the performance of BIM. As the importance of BIM staff is emphasized in the performance analysis of BIM, the human resource allocation of BIM staff can become an important research issue. However, there are few studies to measure the workforce effectiveness of BIM staff. Ham et al (2020) measured BIM workforce efficiency using FCFS queue model rules. Since design errors can have different effects on the project depending on the type, there are design errors that must be dealt with first. Therefore, in this study, a priority queue was used to solve design errors with high priority first. The performance of BIM-based design verification was analyzed by quantitatively analyzing the performance of BIM staff when the priority rule was applied to the design error processing sequence.

주제어

표/그림 (11)

그림 Figure 1. Impact of variable based on project time(PMI, 2013)
그림 Figure 2. MacLeamy curve (The american institute of architects, 2007)
그림 Figure 3. Multi server queueing system
표 Table 1. Project overview
표 Table 2. Descriptions of BIM staffing in L-project(Ham et al., 2020)
표 Table 3. Comparison of FCFS rules and priority rules
표 Table 4. Classification of design errors according to BIM impact(Ham et al., 2018)
표 Table 5. Number of design errors per part
표 Table 6. Priority queue according to BIM Impact
표 Table 7. Consultation work (underground-ground) priority queue
표 Table 8. Underground-consultation work-ground priority queue

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