What is controlling characteristic in SAP QM - Quality Management?

SAP Term: controlling characteristic

• Component: QM

• Component Name: Quality Management

• Description: A required characteristic that has conditional characteristics assigned below it in the operation of an inspection plan. The valuation of the controlling characteristic dictates whether the conditional characteristics are to be inspected.

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• Key Concepts: 
  Controlling characteristics are used in SAP Quality Management (QM) to define the characteristics of a material or product that need to be monitored and controlled. These characteristics can include physical properties, such as size, weight, and color, as well as chemical properties, such as pH level and viscosity. Controlling characteristics are used to ensure that the quality of a product meets the required standards.
  
  How to use it: 
  In SAP QM, controlling characteristics are used to define the criteria for quality control. The criteria can be set up in the system by entering the desired values for each characteristic. Once these values have been entered, they can be used to monitor and control the quality of a product. For example, if a product has a certain size or weight requirement, the system can be set up to alert users if the product does not meet these requirements.
  
  Tips & Tricks: 
  When setting up controlling characteristics in SAP QM, it is important to ensure that all of the desired criteria are entered correctly. This will help ensure that the system is able to accurately monitor and control the quality of a product. Additionally, it is important to regularly review and update the controlling characteristics in order to ensure that they remain up-to-date with any changes in quality standards.
  
  Related Information: 
  Controlling characteristics are just one of many tools used in SAP QM for quality control. Other tools include inspection plans, sampling procedures, and test methods. Additionally, SAP QM also provides reporting capabilities which allow users to track and analyze quality data over time.