Pareto the defects
When it may fit: Many defect types, limited time.
Evidence needed: Defect counts by type and cause.
Trade-off: Needs consistent recording.
Manufacturing Intelligence Brief
Scrap and rework are the cost of making things wrong. Because they hide in material, labor and overhead, they are usually much larger than they appear.
How much is poor quality really costing us?
Scrap is material and labor spent on units that cannot be sold. Rework is labor and time spent fixing units that could be. Both consume capacity and delay deliveries.
Tracking them as separate lines, by product and cause, shows how much quality costs and where to start.
A scrap and rework review needs:
The cost of poor quality is higher than the scrap line alone because it also uses machine time and delays shipments.
In the synthetic plant, Calculated scrap and rework cost rose 34.8%, from $2.30M to $3.10M, while units produced grew 8.8%. As a share of production cost, scrap and rework moved from 4.7% to 5.7%, and it accounted for 14% of the total cost increase, though it is only about 6% of total cost.
Calculated The quarterly view shows a step change: the share stayed near 4.7% in every quarter of FY25, then moved to 5.7% in the first quarter of FY26 and stayed there. At the product level, Custom Orders look like a strong candidate for the cause: units grew 35.0%, but direct cost rose 78.9% and contribution per unit fell from $21.00 to $11.85.
Hypothesis Custom work often brings more setups, one-off tooling and rework than standard products, so it is a plausible but unconfirmed source. Information gap Scrap by product and cause is not in the demo. In the scenario, each 1% change in scrap cost is worth about $31K, so cutting scrap by 20% would be worth about $620,000 a year, before any extra benefit from capacity freed.
4. Explore the interactive experience
Manufacturing Performance Dashboard: a product-line dashboard with downtime and scrap, a scenario simulator for volume, price, materials and scrap, evidence-linked answers from APIS, and a sample brief, all on synthetic data.
The experience below is built on a synthetic manufacturer, “Demo Components Inc.,” analyzed by product line. It has no station-level, machine-level or line-level records, so product lines are used to show the method. Nothing in it is real.
Quality improvement is usually found in a few processes, not across the plant.
Two Pillars can help manufacturers investigate production performance, cost structure, inventory and capital investment decisions using your own plant data. A good first step is a cost-of-quality analysis that ties scrap and rework to products, causes and dollars.