This project outlines generic tools that can be used in quality assurance programs to indicate an appropriate level of confidence in the data that is produced by product testing. These tools can be used by management to make technically informed decisions about programs used to monitor properties of production, and monitoring strategies that are based on random position testing of random specimens.
This paper presents tables, equations and graphs that enable producers to determine Test Comparison Value that are used to assess test results for both MoE and strength. Where the test results exceed the Test Comparison Value, then there is the required confidence that the production in that period meets the required properties.
- Reference Number: PN05.2024
- Findings Report: PN05.2024.pdf
- Other Attachments: PN05.2024 appendices.pdf
