MINIMIZING DELAY IN CONSTRUCTION PROJECT AT PT FREEPORT INDONESIA WITH THE CRASHING CPM-PERT APPROACH AND MONTE CARLO SIMULATION
The global transition to clean energy necessitates a shift towards more sustainable mining practices for critical materials. Copper, an essential commodity in this transition, is extracted in the eastern region of Indonesia by PT Freeport Indonesia. The company is increasing its production from unde...
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| Format: | Theses |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/83389 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The global transition to clean energy necessitates a shift towards more sustainable mining practices for critical materials. Copper, an essential commodity in this transition, is extracted in the eastern region of Indonesia by PT Freeport Indonesia. The company is increasing its production from underground mines, aiming to meet the escalating demand during this shift towards clean energy. One of the ongoing projects, the Mill Optimization Electrical System (MOES) construction, seeks to bolster power supply and transformer capacity at the mill site to support the planned surge in concentrating and underground loads.
However, PT Freeport Indonesia is grappling with a significant issue regarding the delayed progress of the MOES construction, hampering the projected production ramp-up. To address this challenge, an in-depth study was undertaken to devise a strategy to expedite and conclude the MOES project by the third quarter of 2024. The research encompassed an analysis of the project schedule from January to May 2024, questionnaires with involved personnel, and the implementation of a Monte Carlo simulation. The study employed the crashing CPM-PERT method, supported by the Oracle Primavera project management software. The Monte Carlo simulation method using Microsoft Excel is conducted to ascertain the probability of construction completion time. The findings revealed a 13.9% likelihood of completing the construction within 164 days, compared to the current 192-day timeline, through applying the Crashing-PERT method combined with the Monte Carlo simulation.
In conclusion, the research highlights that integrating Monte Carlo simulation into the crashing CPM-PERT method of the MOES construction project offers an alternative approach to mitigating the limitations associated with conventional scheduling methods, thereby reducing construction delays. These insights furnish a robust framework for advancing project scheduling practices, facilitating more precise schedule analysis and improved schedule performance.
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