Risk Analysis of Modest Housing Projects Scheduling using Monte Carlo Simulation

Djohim, M.F.N. and Nugroho, A.S.B. and Handayani, T.N. (2024) Risk Analysis of Modest Housing Projects Scheduling using Monte Carlo Simulation. Civil Engineering Dimension, 26 (2). pp. 1-13. ISSN 14109530

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Abstract

It is crucial to address uncertainties in the construction project scheduling to mitigate delays. Probabilistic simulation offers a viable alternative method. This study examined the relationship between project duration and delay risks, as well as identified the most influential activities for modest housing projects using Monte Carlo Simulation. The simulation analysis, which included 2547 iterations, found that, on average, it took 87.39 days to complete a 54-type modest house project, with the shortest and longest durations being 44 and 149 days, respectively. The sensitivity analysis revealed that finishing works, such as painting, doors/windows installation, and cleaning, had the highest uncertainty and significantly affected the project duration. Additionally, the severity analysis showed that wall work was the most impactful activity contributing to delays. Based on these analyses, both finishing works and wall work were identified as the most critical activities significantly influencing the project's completion duration. © 2024, Petra Christian University. All rights reserved.

Item Type: Article
Additional Information: Cited by: 0
Uncontrolled Keywords: risk analysis, probabilistic scheduling, project duration, monte carlo simulation, sensitivity analysis
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > Management of engineering works
T Technology > TA Engineering (General). Civil engineering (General) > Engineering mathematics. Engineering analysis
Divisions: Faculty of Engineering > Civil Engineering & The Enviromental Department
Depositing User: Rita Yulianti Yulianti
Date Deposited: 20 Jun 2025 01:48
Last Modified: 20 Jun 2025 01:48
URI: https://ir.lib.ugm.ac.id/id/eprint/12912

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