Power Bi report created for KPI analysis of an Industrial machines under certain requirements.
Dashboard link : https://app.powerbi.com/view?r=eyJrIjoiN2RlY2NmNGQtNjhmYi00NmU3LWFlMjUtMjkyZDI3NTJmYTUyIiwidCI6IjY0ZGU2ZGRmLTA4ZTAtNGJjNy1iYTdkLWZmNTM1MmU1MGFjYyJ9
KPI Analysis on Manufacturing Machines Data using Power BI
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Objective: Analyze key performance indicators (KPIs) related to manufacturing machines to enhance operational efficiency and productivity.
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Data Sources: Integrate data from machine sensors, production logs, and maintenance records for comprehensive analysis.
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Key KPIs:
- Overall Equipment Effectiveness (OEE): Measure machine performance, availability, and quality.
- Downtime Analysis: Identify and quantify machine downtime causes and trends.
- Production Efficiency: Track output against planned production targets.
- Maintenance Metrics: Monitor frequency and impact of scheduled vs. unscheduled maintenance.
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Visualizations: Utilize interactive dashboards and reports for real-time insights and decision-making support.
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Insights: Highlight patterns and correlations to inform process improvements, optimize maintenance schedules, and reduce costs.
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Outcome: Facilitate data-driven decisions to enhance machine utilization, reduce waste, and improve overall production quality.