Manufacturing Performance Analysis Dashboard

This project focuses on analyzing factory performance metrics to identify inefficiencies, optimize production, and reduce operational costs. The analysis helps in improving machine efficiency, reducing defects, and optimizing energy consumption. 🛠️ Tools & Technologies Used: ✅ Python (Pandas, Matplotlib, Seaborn) – Data processing & visualization ✅ SQL – Querying and analyzing machine & production data ✅ Excel – Data cleaning and preprocessing ✅ Tableau – Interactive dashboards for insights visualization 📈 Key Insights & Achievements: 📌 Optimized Machine Efficiency – Identified underperforming machines and suggested improvements 📌 Energy Consumption Analysis – Reduced excess energy waste by correlating machine efficiency with consumption 📌 Defect & Scrap Rate Reduction – Analyzed the impact of temperature variations on defect rates 📌 Cost Optimization – Identified high-maintenance machines and recommended predictive maintenance strategies 📌 Interactive Tableau Dashboards – Provided a real-time view of production performance and KPIs 🚀 This dashboard helps businesses improve factory efficiency, reduce costs, and enhance product quality!