Test Properties
Test Properties are fundamental to the Quality Control Test process, allowing businesses to define and categorize key attributes that are tested. These properties help in determining and recording testing results, facilitating analysis and reporting. Through this functionality, users can set up properties based on numeric values or reference values, ensuring accuracy and consistency in the quality control process.
Administration → Setup → Quality Control → Test Properties
This form allows the user to define Test Properties and is used within the Test Protocol Template, Test Protocol and Quality Control Test forms to determine and record testing results.
The Used Count field indicates how often the Test Property has been used and is used for reporting and analysis purposes.
Reference
Setup → Item Details → Property Reference Library
A Test Property in a Quality Control Test can have either numeric or reference values:
- Numeric Values: These are directly defined within the Quality Control Test and are used to record measurable results, such as particle size or the number of items in a sample.
- Reference Values: These do not include numeric values but instead represent predefined outcomes, such as color options (e.g., Yellow, Red, or Green). The possible reference results for a specific Test Property can be selected from a table within the Test Property form.
Property can be defined in Property Reference Library. By checking a specific checkbox, you can choose for which Property type this reference is available.
Test Property Group
Administration → Setup → Quality Control → Test Property Groups
This form allows the user to define Test Property Groups that are used to group Test Properties into categories for analysis and reporting purposes.
Test Properties are the backbone of effective Quality Control, ensuring that all measurable attributes and conditions are systematically defined, grouped, and analyzed. By leveraging tools such as the Property Reference Library and Test Property Groups, organizations can enhance their quality assurance practices and gain deeper insights into testing outcomes. Structured data management through these features contributes to higher efficiency, consistency, and reliability in maintaining quality standards.