The objective of this project is to build a BI platform that analyzes manufacturing quality data to detect defect patterns and production inefficiencies. The system will support quality control teams in improving product standards and reducing rework costs.
Collect manufacturing and quality inspection datasets.
Preprocess defect-related data for consistency.
Design a data warehouse schema focused on production quality.
Implement ETL pipelines for defect and production data integration.
Create dashboards showing defect rates, root causes, and production batches.
Analyze machine-wise and shift-wise defect trends.
Identify recurring quality issues.
Perform trend analysis for defect reduction planning.
Enable drill-down views for batch-level investigation.
Validate dashboard metrics with sample production data.
Document quality improvement insights and conclusions.
