Workload Analysis to Determine Mechanical Workforce Requirements (Fulltime Equivalents) in Mining Projects: A Case Study of PT TMP
Downloads
The mining industry requires an optimal mechanical workforce to ensure equipment reliability, operational efficiency, and sustainable productivity. However, workforce allocation is often determined using conventional approaches that may not adequately reflect actual workload variations, resulting in potential overstaffing or understaffing. This study aimed to determine the optimal number of mechanical personnel required in the Asset Management Group (AMG) Department of PT TMP by applying the Full-Time Equivalent (FTE) method and integrating the results with Key Performance Indicators (KPIs), the Balanced Scorecard (BSC), Strategic Workforce Planning (SWP), and expert judgment. A quantitative descriptive approach was employed using historical maintenance data collected from April to December 2025, including work orders, maintenance duration, manpower requirements, and effective working hours. The workload was converted into FTE values, validated through expert judgment, and subsequently evaluated against departmental performance indicators. The findings revealed that the average ideal workforce requirement was 21.8 mechanics, with a peak demand of 39 mechanics, while the actual workforce averaged 37.9 mechanics. Nevertheless, expert validation recommended maintaining a workforce level of 45–48 mechanics as a strategic manpower buffer to accommodate operational uncertainties during the project transition period. Integration with KPIs demonstrated improvements in Physical Availability (98.6%), Mean Time Between Stoppages (118.3 hours), Mean Time to Repair (3.2 hours), and Manpower Cost per Hour (USD 5.66). The study concluded that integrating FTE analysis with performance management and strategic workforce planning provided a comprehensive, evidence-based framework for optimizing workforce allocation and supporting long-term operational sustainability in mining projects.
Copyright (c) 2026 Tunggul Mirza Pratama, Bambang Syairudin

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International (CC-BY-SA). that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.





