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Average non-conformity is the ratio of defected numbers in all units to that of total number of units. It provides a measure of quality control by indicating the average number of non-conforming items per unit in a given sample.
The calculator uses the formula:
Where:
Explanation: The formula calculates the average number of non-conforming items per unit by dividing the total number of rejected units by the total number of units inspected.
Details: Calculating average non-conformity is crucial for quality control processes, helping manufacturers and quality assurance teams identify issues in production processes, monitor quality trends, and implement corrective actions to improve product quality.
Tips: Enter the number of rejected units and the total number of units in the sample. Both values must be valid (rejected ≥ 0, units > 0).
Q1: What does a high average non-conformity value indicate?
A: A high value indicates poor quality control with many defective items per unit, suggesting issues in the production process that need attention.
Q2: How is this different from defect rate?
A: While defect rate typically refers to the percentage of defective items, average non-conformity measures the average number of defects per unit, which can be greater than 1 if multiple defects occur in a single unit.
Q3: What is considered an acceptable average non-conformity value?
A: Acceptable values vary by industry and product type. Generally, lower values indicate better quality, with many industries aiming for values close to zero.
Q4: Can this calculation be used for service industries?
A: Yes, the concept can be adapted to service industries by defining what constitutes a "non-conformity" in service delivery and tracking these occurrences.
Q5: How often should average non-conformity be calculated?
A: It should be calculated regularly (daily, weekly, or per production batch) to monitor quality trends and quickly identify when quality issues arise.