5,000 heats · calendar year 2025

Analytics dashboard

Where the money goes, why, and how to recover it.

Total heats
2025 YTD
Scrap rate
target ≤ 3.5%
Rework rate
target ≤ 2.0%
Annual savings opportunity
this part

Business impact waterfall

Where the ₹ losses break down across scrap, rework, complaints, warranty.

Defect Pareto — by cost

Not by frequency. The same defect can be 10× more expensive depending on disposition.

Monthly defect rate (with humidity overlay)

Monsoon ambient humidity directly drives gas porosity — non-linear compounding.

Dimensional capability (Cpk) — OEM-TATA requires ≥ 1.33

Bore failing the automotive PPAP requirement. Deck and Wall passing.

Shift breakdown

Operator + shift effect on defect rate.

Furnace breakdown

F1 (older lining) drifts hotter; defects follow.

Season breakdown

Monsoon as the dominant defect amplifier.

Pattern breakdown

PT-C is closest to retirement threshold (cycles ≥ 800).

Pattern wear curve (Heine §3.7)

Dimensional non-conformance rate climbs sharply past 800 cycles — pattern replacement threshold.

Top feature correlations with defect

Pearson correlation with binary defect indicator.

Model performance

Real ML on 5,000 heats. Trained holdout · stratified split · seed 42.

Sample raw data (first 25 heats)

Direct rows from data/heats_2025.csv. Replace with your data to retrain.