Corresponding Author

hano.kharismantoko@ui.ac.id

Year

2025

Abstract

This study aims to analyze time and cost efficiency in the overhaul project of PLTU Unit 2 Indramayu by applying project crashing using mixed method approach. The growing electricity demand in Indonesia and the vital role of Steam Power Plants (PLTU) require effective maintenance strategies to prevent revenue losses due to overhaul project delays. The research integrates qualitative insights from direct observation and interviews with quantitative data from project documentation. The Work Breakdown Structure (WBS) and Critical Path Method (CPM) were used to identify critical activities, followed by project crashing using linear programming approach to determine the optimal schedule and cost. The research findings on schedule optimization through quantitative modeling show that crashing specific critical activities with the objective function of minimizing crashing cost significantly reduces project duration from 571 hours to 493 hours, with a controlled increase in direct costs and a reduction in indirect costs due to crashing project duration. The optimized schedule improves resource utilization and yields a more efficient time-cost trade-off, with an optimum cost of IDR 193,443,887. This study provides practical guidance for power plant project managers to implement linear programming-based crashing in maintenance planning. The scientific contribution is demonstrated through the application of CPM and linear programming in the context of Maintenance, Repair, and Overhaul (MRO) operations in power plants.

Keywords:

project scheduling, critical path method, project crashing, maintenance, steam power plant

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Project Scheduling Analysis for the Overhaul of Indramayu Steam Power Plant (PLTU)

This study aims to analyze time and cost efficiency in the overhaul project of PLTU Unit 2 Indramayu by applying project crashing using mixed method approach. The growing electricity demand in Indonesia and the vital role of Steam Power Plants (PLTU) require effective maintenance strategies to prevent revenue losses due to overhaul project delays. The research integrates qualitative insights from direct observation and interviews with quantitative data from project documentation. The Work Breakdown Structure (WBS) and Critical Path Method (CPM) were used to identify critical activities, followed by project crashing using linear programming approach to determine the optimal schedule and cost. The research findings on schedule optimization through quantitative modeling show that crashing specific critical activities with the objective function of minimizing crashing cost significantly reduces project duration from 571 hours to 493 hours, with a controlled increase in direct costs and a reduction in indirect costs due to crashing project duration. The optimized schedule improves resource utilization and yields a more efficient time-cost trade-off, with an optimum cost of IDR 193,443,887. This study provides practical guidance for power plant project managers to implement linear programming-based crashing in maintenance planning. The scientific contribution is demonstrated through the application of CPM and linear programming in the context of Maintenance, Repair, and Overhaul (MRO) operations in power plants.