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http://dx.doi.org/10.6106/KJCEM.2022.23.3.003

Establishment of Measurement Standards for Productivity Assessment in Construction Project  

Kim, Junyoung (Department of Architecture & Architectural Engineering, Seoul National University)
Yoon, Inseok (Department of Architecture & Architectural Engineering, Seoul National University)
Jung, Minhyuk (Department of Architecture & Architectural Engineering, Seoul National University)
Joo, Seonu (Infra Technology Innovation Group, Samsung Electronics)
Park, Seungeun (Department of Architecture & Architectural Engineering, Seoul National University)
Hong, Yeungmin (Department of Architecture & Architectural Engineering, Seoul National University)
Cho, Jongwoo (Department of Architecture & Architectural Engineering, Seoul National University)
Park, Moonseo (Department of Architecture & Architectural Engineering, Seoul National University)
Publication Information
Korean Journal of Construction Engineering and Management / v.23, no.3, 2022 , pp. 3-12 More about this Journal
Abstract
In general construction project planning ratio of manpower and quantity of outputs produced, such as the construction estimate standard, is used as the criterion for labor productivity. This method is highly effective in construction projects with repetitive work, however, there is a limit to apply in large-scale projects with high complexity. This is because the influence of non-work time caused by various work interruption factors that act complexly on the productivity of the project is greater than the average labor productivity derived from the performance data of the project. Therefore, this study proposes a productivity measurement method that can evaluate the characteristics of construction works and the cause of non-working time. To this end, first, detailed work processes and their non-work factors for each work type are defined, and the Adv-FMR technique is developed for quantitatively measuring them. Next, based on the concept of obtainable productivity, methods for comparative productivity analysis by work type, evaluating non-work factors, and deriving productivity improvement methods are proposed. Finally, a case study is conducted to validate that the analysis results based on Adv-FMR data can support the decision-making of construction managers on productivity management.
Keywords
Construction Productivity; Productivity Measurement; Productivity Assessment; Obtainable Productivity;
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