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PROJECT 085 / 102 · Manufacturing

Thickness and fault composition.

How does the composition of recorded faults vary across plate-thickness bands?

Focused analytical studySteel plate faultsExecuted notebook

THE RESULT

What the data shows

The largest computed metric is 0.8676 for (200.0, inf] / Other_Faults; the smallest is 0.001195 for (50.0, 100.0] / K_Scatch. Metric: within_band_share (Within-band fault share).

Healthy production exposure is unavailable, so these shares cannot establish thickness-specific defect risk.

Thickness and fault composition — chart from the computed study output
Computed study output. Full values and units are available in the results download.
Computed results · 12 of 25 rows. Values rounded for display; source units and raw column names are retained in the download.
thickness bandfaultrecordswithin band sharegroup
(0.0, 50.0]Bumps920.1115(0.0, 50.0] / Bumps
(0.0, 50.0]Dirtiness130.01576(0.0, 50.0] / Dirtiness
(0.0, 50.0]K_Scatch3900.4727(0.0, 50.0] / K_Scatch
(0.0, 50.0]Other_Faults2120.257(0.0, 50.0] / Other_Faults
(0.0, 50.0]Pastry390.04727(0.0, 50.0] / Pastry
(0.0, 50.0]Stains710.08606(0.0, 50.0] / Stains
(0.0, 50.0]Z_Scratch80.009697(0.0, 50.0] / Z_Scratch
(100.0, 150.0]Bumps70.08434(100.0, 150.0] / Bumps
(100.0, 150.0]Dirtiness70.08434(100.0, 150.0] / Dirtiness
(100.0, 150.0]Other_Faults460.5542(100.0, 150.0] / Other_Faults
(100.0, 150.0]Pastry230.2771(100.0, 150.0] / Pastry
(150.0, 200.0]Bumps250.1953(150.0, 200.0] / Bumps
Download the complete result table ↓

THE METHOD

From source to answer

Thickness strata and within-stratum fault shares.

The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.

THE NEXT DECISION

What follows from the finding

Investigate process mix before attributing differences to plate thickness.

Where the conclusion stops

Every source row is a recorded fault. The data cannot estimate a production defect rate or distinguish healthy plates. Batch and machine IDs are absent, so grouped exact-input holdouts do not prove factory transfer.

Related studies may reuse observations or holdouts. These are historical analyses; associations and backtests do not demonstrate commercial impact. Further model tuning needs new, untouched evaluation data.