Live Waste & Rejection Tracking

Live Pareto Analysis from Defect Input Data

Enter rejection and waste data. The page automatically groups defect categories, calculates percentage contribution, builds cumulative Pareto ranking, and highlights the biggest quality-loss areas.

Total Rejected / Waste Qty

376

Estimated Loss

£5,640

Priority Defect

Stitching Defect

Add Defect / Waste Data

Defect TypeQuantityEstimated Loss Value

Live Pareto Chart

Stitching Defect156 qty | 41.5% | cumulative 41.5%

Skiving Defect88 qty | 23.4% | cumulative 64.9%

Leather Defect63 qty | 16.8% | cumulative 81.6%

Moulding Defect42 qty | 11.2% | cumulative 92.8%

Finishing Defect27 qty | 7.2% | cumulative 100.0%

Pareto Interpretation

The highest-ranked defects should be investigated first. The goal is to identify the small number of defect categories causing the largest share of quality loss, then run root-cause analysis and corrective action on those priority areas.

Data Table for Productivity Improvement Team

Rank	Defect Type	Quantity	Estimated Loss	%	Cumulative %
1	Stitching Defect	156	£2,340	41.5%	41.5%
2	Skiving Defect	88	£1,320	23.4%	64.9%
3	Leather Defect	63	£945	16.8%	81.6%
4	Moulding Defect	42	£630	11.2%	92.8%
5	Finishing Defect	27	£405	7.2%	100.0%

Live Input

Quality teams, supervisors, and production staff can input defect quantities and estimated loss values during or after production.

Live Prioritisation

The system automatically ranks defects so improvement teams can focus on the biggest causes of loss first.

Future Firebase Data

Later, these rows can be saved to Firestore and used across the live KPI dashboard, AI assistant, management reports, and continuous improvement tracker.