Minimizing Delay in Construction Project at PT Freeport Indonesia using Crashing CPM-PERT Approach and Monte Carlo Simulation

This research aims to develop an acceleration solution to improve the delayed construction project at PT Freeport Indonesia. The study integrates Critical Path Method-Program Evaluation and Review Technique (CPM-PERT) using Primavera software and Monte Carlo simulation to analyze the delayed schedule and improve project scheduling practices. These methodologies help identify critical activities, consider different time estimates, and predict the probability of multiple outcomes of the improved schedule. The study shows a 13.9% chance that the construction will be completed in 164 days, determined by the Crashing CPM-PERT method combined with the Monte Carlo simulation. The findings provide a robust framework for enhancing project scheduling practices, leading to more accurate schedule analysis and better schedule performance.

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Publication Details

Journal
European Journal of Business Management and Research
Published
2024-09-19
DOI
https://doi.org/10.24018/ejbmr.2024.9.5.2448
Citations
1
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
0.27
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article

Minimizing Delay in Construction Project at PT Freeport Indonesia using Crashing CPM-PERT Approach and Monte Carlo Simulation

Nur Budi Mulyono, B. Kurniawan
1 citations
European Journal of Business Management and Research
BIM and Construction Integration
0.27
article

Minimizing Delay in Construction Project at PT Freeport Indonesia using Crashing CPM-PERT Approach and Monte Carlo Simulation

Nur Budi Mulyono, B. Kurniawan
article en
1 citations

Abstract

This research aims to develop an acceleration solution to improve the delayed construction project at PT Freeport Indonesia. The study integrates Critical Path Method-Program Evaluation and Review Technique (CPM-PERT) using Primavera software and Monte Carlo simulation to analyze the delayed schedule and improve project scheduling practices. These methodologies help identify critical activities, consider different time estimates, and predict the probability of multiple outcomes of the improved schedule. The study shows a 13.9% chance that the construction will be completed in 164 days, determined by the Crashing CPM-PERT method combined with the Monte Carlo simulation. The findings provide a robust framework for enhancing project scheduling practices, leading to more accurate schedule analysis and better schedule performance.

European Journal of Business Management and ResearchVol. 9(5)
Bandung Institute of Technology (ID)
Openalex Percentile: Top 43%
BIM and Construction Integration
0.27
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Minimizing Delay in Construction Project at PT Freeport Indonesia using Crashing CPM-PERT Approach and Monte Carlo Simulation — Nur Budi Mulyono, B. Kurniawan · European Journal of Business Management and Research (2024) | TGRS Research Map | TGRS