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http://dx.doi.org/10.5762/KAIS.2018.19.12.669

Optimal Period by Calculating and Appling Correction Factor based on Setting of Non-Working Days of Construction Projects  

Lee, Pil-Yoon (R&D Division, Unicons Co. Ktd)
Lee, Seong-Won (Department of Infrastructure Safety Research, Korea Institute of Civil engineering and building Technology)
Byun, Yo-Seph (Department of Infrastructure Safety Research, Korea Institute of Civil engineering and building Technology)
Cho, Choong-Yeun (R&D Division, Unicons Co. Ktd)
Lee, Min-jae (Department of Civil Engineering, Chungnam National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.19, no.12, 2018 , pp. 669-676 More about this Journal
Abstract
Schedule management in construction work is an important step for determining the construction period. On the other hand, there is a difference between the planned schedule and execution schedule because the estimation and calculation of Non-Working days, in which possible at the design stage is not performed properly. This paper proposes a method for estimating the working days by analyzing characteristics of the major work type and estimating the Non-Working days reflecting the Chuseok and New Year Holidays, which is the closest method to the actual work in the schedule planning. By applying the correction factor of the existing method and the improved method for the same construction in the same site, improved method was reduced by 22 days (9.1%) based on the actual working days. The importance of schedule management was confirmed as an example by comparing the data before and after the application of the standard (plan). These results show that the schedule delays, which are caused by the inconsistency between actual working days calculation that had been practiced conventionally and the working days on the schedule table, can be prevented. In addition, it will help to establish a schedule plan that is closer to reality.
Keywords
Schedule management; Non-Working day; Working day; Weather factor; Annual operation rate;
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  • Reference
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