Forklifts are the main equipment in the goods management system in warehouses that have an important role in increasing productivity, operational efficiency, and smooth logistics flows. If the performance of the forklift decreases, there will be an increase in downtime, more expensive maintenance costs, and the risk of disruption in operations. This study aims to analyze the influence of Condition-Based Maintenance (CBM), Operational Environment Conditions (OEC), and Human Resource Competency (HRC) on heavy equipment performance, namely Heavy Equipment Performance (HEP), in forklift operations in warehouses. Forklift performance is measured through indicators such as transportation productivity, downtime frequency, and maintenance cost efficiency. Meanwhile, CBM, OEC, and HRC are represented by various technical, environmental, and workforce competency indicators. This study uses a quantitative approach with a causal-explanatory design. Data were collected through a Likert Scale-based questionnaire survey of 49 respondents, consisting of operators, technicians, and supervisors, using purposive sampling methods. Data analysis was carried out using the Structural Equation Modeling–Pa
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