What is characteristic analysis in SAP MFG-DM-MI-PQM - Predictive Quality Management?

SAP Term: characteristic analysis

• Component: MFG-DM-MI-PQM

• Component Name: Predictive Quality Management

• Description: A sub function of descriptive analytics. Characteristic analysis helps to analyze the trends in the raw material characteristics from a specific vendor.

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• Key Concepts: 
  Characteristic analysis is a component of Predictive Quality Management (PQM) in SAP Manufacturing Data Management (MFG-DM-MI). It is used to analyze the characteristics of a product or process, such as its size, shape, color, or other properties. This analysis helps to identify potential problems and areas for improvement. 
  
  How to use it: 
  Characteristic analysis can be used to identify trends in product or process characteristics over time. It can also be used to compare different products or processes and identify areas of improvement. The data collected from characteristic analysis can be used to create reports and make decisions about product or process changes. 
  
  Tips & Tricks: 
  When using characteristic analysis, it is important to collect data from multiple sources and analyze it over time. This will help to identify trends and potential areas for improvement. It is also important to consider the context of the data when making decisions about product or process changes. 
  
  Related Information: 
  Characteristic analysis is closely related to other components of Predictive Quality Management, such as Statistical Process Control (SPC) and Design of Experiments (DOE). These components can be used together to gain a better understanding of product or process characteristics and make informed decisions about changes.