IMPROVING TIME AND COST ESTIMATION OF WEST WANAGON SLOPE STABILITY PROJECT IN GRASBERG SURFACE MINE CLOSURE: A FUZZY LOGIC AND PROGRAM EVALUATION AND REVIEW TECHNIQUE (PERT) INTEGRATION APPROACH

• Main Author: Gino Simanjuntak, Maychel
• Format: Theses
• Language: Indonesia
• Subjects: Manajemen umum
• Online Access: https://digilib.itb.ac.id/gdl/view/81410
• Institution: Institut Teknologi Bandung

Accurate time and cost estimation is critical in the successful closure of large-scale mining projects such as the West Wanagon Slope Stability Project at the Grasberg Surface Mine. Historically, these estimations have been marked by inaccuracies, which have negatively affected the overall efficiency and effectiveness of the projects. This study specifically addresses the enduring issues of time and cost estimation inaccuracies within PT Freeport Indonesia's closure projects. By employing a comprehensive array of analytical techniques including KepnerTregoe Problem Analysis, Critical Path Analysis, PERT Analysis, and an innovative integration of Fuzzy Logic with PERT. The research endeavors to enhance the accuracy of these critical estimations. The investigation pinpoints several potential causes for the observed delays time and cost, among them are severe erosion at toe high slope dumps due to inadequate surface water control, the intricate technical demands of engineering and construction tasks, unexpected changes in project scope, uncertainties in resources, and shortcomings in risk and project management experience. By methodically tackling these issues through the methodologies employed, the study aims to construct a more resilient estimation framework capable of accommodating the complex uncertainties typical of mine closure projects. The expected result is a thoroughly validated model that not only elevates estimation practices but also significantly improves project management capabilities, thereby offering valuable insights into the effective integration of traditional and contemporary analytical techniques in project estimation.