<![CDATA[The production process of Rice Milling Unit (RMU) machines at PT XYZ faces serious challenges, including excessively high operating times that exceed the ideal cycle time for most production components, resulting in low machine efficiency and overall effectiveness. This study aims to analyze the root causes of inefficiency, identify problems in the RMU production process, and provide improvement recommendations and continuous control mechanisms using the DMAIC (Define, Measure, Analyze, Improve, Control) method. A descriptive quantitative approach was employed using production data from 120 work items, encompassing a total operating time of 234.9 hours and an actual output of 1,308 units. Effectiveness measurements using Overall Equipment Effectiveness (OEE) revealed that the average performance value was critically low due to a significant gap between actual operating time and ideal cycle time, despite high availability and quality rate. Pareto analysis identified excessive operating time (40%) and low performance (30%) as the largest contributors to inefficiency, while the Fishbone Diagram revealed root causes in machine, work method, and human resource factors. Proposed improvements include SOP standardization, implementation of preventive maintenance, elimination of non-value-added activities, and periodic OEE monitoring. The findings demonstrate that the DMAIC method is effective in diagnosing and designing structured improvement solutions to enhance RMU production efficiency at PT XYZ.]]>
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