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

SAP Term: process parameter analysis

• Component: MFG-DM-MI-PQM

• Component Name: Predictive Quality Management

• Description: A sub function of descriptive analytics. Process parameter analysis helps to analyze the impact of machine parameters on the product quality and manufacturing performance. It also helps to visualize and analyze the machine parameter patterns related to good and bad manufactured products on the same machine or resource.

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• Key Concepts: 
  Process parameter analysis is a feature of SAP Predictive Quality Management (PQM) that allows users to analyze the process parameters of a production process. This analysis helps to identify potential problems and optimize the process parameters for better quality control. The analysis is based on data collected from the production process, such as temperature, pressure, and other parameters. 
  
  How to use it: 
  Process parameter analysis can be used to identify potential problems in the production process and optimize the process parameters for better quality control. To use this feature, users must first collect data from the production process, such as temperature, pressure, and other parameters. This data can then be analyzed using SAP PQM to identify potential problems and optimize the process parameters. 
  
  Tips & Tricks: 
  When using process parameter analysis, it is important to ensure that the data collected from the production process is accurate and up-to-date. Additionally, it is important to ensure that all relevant parameters are included in the analysis. This will help to ensure that any potential problems are identified and addressed quickly. 
  
  Related Information: 
  For more information about SAP Predictive Quality Management (PQM), please visit the SAP website at https://www.sap.com/products/predictive-quality-management.html. Additionally, there are many resources available online that provide more detailed information about process parameter analysis and how to use it effectively.