<![CDATA[Competition in the automotive manufacturing industry requires companies to monitor production performance quickly, accurately, and in an integrated manner. Common problems include fragmented production data, periodic reporting, and limited visualization of production achievement, productivity, quality, and downtime. This study aims to design a production performance monitoring dashboard based on Key Performance Indicators (KPIs) to support management in monitoring production conditions and determining improvement priorities. The research method consists of information-needs identification, data collection, KPI determination, data processing, dashboard design, and evaluation. The selected KPIs include production achievement, productivity, defect rate, downtime, and Overall Equipment Effectiveness (OEE). Six-month simulated data are used to demonstrate the application of the method. The results show an average production achievement of 95.45%, productivity of 95.83%, defect rate of 2.02%, and OEE of 78.33%. The proposed dashboard presents key indicators, performance trends, target-versus-actual comparisons, defect Pareto analysis, and downtime information. The design provides a concise visualization of production conditions and supports data-driven decision making. The data in this study are simulated and can be replaced with actual company data without changing the methodological framework. Keywords: Automotive Industry, Dashboard, KPI, OEE, Production Performance]]>
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