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The Offset Factors of Learning Curve Effect in High-rise Constructions : 초고층 건설에서의 학습곡선효과 상쇄요인에 관한 연구

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Authors

이보경

Advisor
박문서
Major
공과대학 건축학과
Issue Date
2014-02
Publisher
서울대학교 대학원
Keywords
Learning Curve EffectHigh-riseLabor Productivity
Description
학위논문 (석사)-- 서울대학교 대학원 : 건축학과, 2014. 2. 박문서.
Abstract
Focusing on repetitive works of construction, many research have been conducted about the application of the learning curve effect. However, it is still controversial, especially on the high-rise project, since the productivity improvement from the learning curve effects are hard to prove. In the previous research, the applicability of the learning curve was mainly derived from the labor productivity data. Although the research were based on the real data, they merely concentrated on the simple conclusion that the labor productivity had improved or not, instead of the process interpretation. Therefore, the purpose of this research is to analyze the influence factors of the learning curve effect in high-rise project and elucidate the offset factors of the effect. Based on these factors, a model for estimating the labor productivity containing the concept of process learning is suggested.
The suggested model is based on the offset factors which are derived from the previous literature
1) the repetition or change of each work section, 2) the workers transit time. The learning curve from the previous theory would be modified with two steps according to the above two factors to estimate the labor productivity. Case study is conducted to verify the models validity and it would prove the validity of the offset factors.
Through our research, traditional learning curve theory could be compensated and re-established with having more appropriateness for high-rise projects. Also, it would be helpful for work planning phase, if the manager wants to consider the learning effect of the labor. The research can be a solution of the question why the learning curve effect is not manifested enough in high-rise projects although high-rise projects have enough conditions for the learning curve effect.
Language
English
URI
https://hdl.handle.net/10371/124050
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