Total cost of quality Demo · Cleanry About TCoQ

Diagnose

Internal failure concentration

What it is

What it shows

A Lorenz curve of internal failure cost per record (scrap, rework, deviations and other failures found before the product leaves the plant): records sorted from most to least expensive, against their running share of internal failure cost. The diagonal is an equal spread.

Why it matters in manufacturing

Internal failure is the loss you still control. A few expensive events, such as a scrapped batch, call for root-cause work on those events; many small losses call for changes to the process itself.

How to read it

The further the curve bows above the diagonal, the more a few records dominate. The markers show what the most expensive 5% and 20% of records hold; compare with the concentration of all failure cost beside it.

What good looks like

The curve stays close to the diagonal: no handful of scrap, rework or deviation records holds most of the internal failure cost, and big losses that do show up are not repeated.

Expert view

The expert is reading the figures…

Stable

Nothing stands out: no material change and no warning signs.

What we observe

  • Fact: The costliest 5% of records hold 49% of the cost and 20% hold 86%, over 34,805 records.

Keep in mind

  • One set has a record count that differs from AlisQI.
  • The token cannot read 5 sets, so the total may be partial.

Computed by the app from the figures in this view. Data as of 9 Nov 2026 02:14.

Explanation

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Diagnose

The figure

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