Inspect smarter, reduce escapes, and protect customers. Enter counts, compare lots, and spot trends faster. Turn inspection data into actions that raise quality everywhere.
| Supplier | Lot | Units Inspected | Total Defects | Defective Units | PPM (Defects) | Disposition |
|---|---|---|---|---|---|---|
| Alpha Components | LOT-0261 | 5,000 | 8 | 6 | 1,600 | Accept with containment |
| Nova Plastics | NP-7740 | 2,400 | 20 | 14 | 8,333 | Hold for supplier response |
| Zen Fasteners | ZF-1192 | 10,000 | 3 | 3 | 300 | Accept |
| Orion Electronics | OE-511 | 1,200 | 18 | 9 | 15,000 | Reject |
Incoming inspection converts shop-floor findings into comparable rates. A lot with 5,000 units and 8 defects equals 1,600 ppm, while 20 defects on 2,400 units equals 8,333 ppm. Recording supplier, lot, product, and inspector enables traceability for audits and rapid containment. Use the log to compare the last ten lots and confirm whether quality is improving or drifting. This standardization supports faster feedback and fewer recurring defects.
Two measures answer different questions. Defect-based ppm tracks every nonconformance found, including multiple defects on one unit. Defective-unit ppm estimates how many pieces are bad. If 12 defective units are found in 6,000 inspected, defective-unit ppm is 2,000. If those units contain 22 total defects, defect-based ppm becomes 3,667. Use one basis consistently for scorecards, but review both when escalation is needed.
Categorizing critical, major, minor, cosmetic, documentation, and other defects reveals risk concentration. A shift from minor to major defects can raise field risk even if total ppm stays flat. Track category share: if critical defects are 2 of 10 total, the share is 20%. Pair this with immediate actions, such as 100% sorting, quarantine, or line stop, based on your control plan and customer impact.
When sampling is used, acceptance and rejection numbers turn inspection data into a clear disposition. For example, sample size 200 with acceptance 3 and rejection 4 means 0–3 defects pass, 4+ fails, and the boundary requires review. Document the decision note to explain why a lot was accepted with containment or held for supplier response. This improves alignment between quality, purchasing, and production.
PPM is most valuable as a trend, not a single number. Review weekly averages, compare current ppm to a rolling baseline, and flag lots that exceed a defined trigger. Use opportunities per unit to compute DPMO when multiple defect opportunities exist. Combine ppm, yield, and decision outcomes to prioritize supplier corrective actions, verify effectiveness, and reduce repeat escapes over time.
Incoming PPM expresses nonconformances found during receiving inspection per one million inspected units. It standardizes performance across different lot sizes and supports supplier comparisons, escalation thresholds, and improvement tracking.
Use defect-based PPM when you count every defect instance. Use defective-unit PPM when you classify units as pass/fail. If both exist, monitor both and align your official metric with the supplier agreement.
Leave the field blank and enter defect counts. The tool estimates defective units as not exceeding total defects or inspected units, which helps yield reporting. For audited reporting, record true defective-unit counts.
Opportunities per unit represent how many defect chances each unit has. DPMO divides total defects by units multiplied by opportunities, then scales to one million. Increasing opportunities usually lowers DPMO for the same defect count.
Sampling results guide disposition, but final acceptance depends on your quality plan, risk level, and customer requirements. Use the Pass/Fail output as a communication aid and document additional containment actions when needed.
After calculating, use Download CSV for the latest result or the session log. Use Download PDF to save a formatted report with the summary and defect breakdown tables for sharing and recordkeeping.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.