What is material characteristics in SAP MFG-DM-MI-PQM - Predictive Quality Management?

SAP Term: material characteristics

• Component: MFG-DM-MI-PQM

• Component Name: Predictive Quality Management

• Description: Characteristic that is used in several inspection plans and can be evaluated independently of an inspection plan. Material characteristics facilitate and standardize inspection planning. When creating an inspection plan, it is possible to access the data from the inspection characteristic record, as well as to create inspection plan-specific inspection characteristics. In SAP PQM, material characteristics are same as Master Inspection Characteristics MICs.

Smart SAP Assistant

• Key Concepts: 
  Material characteristics are a type of data that is used to describe a material in SAP. This data can include physical properties, such as weight, size, and color, as well as chemical properties, such as composition and reactivity. It can also include other information, such as supplier information and safety data. In the MFG-DM-MI-PQM Predictive Quality Management component of SAP, material characteristics are used to help predict the quality of materials and products. 
  
  How to use it: 
  In order to use material characteristics in SAP, they must first be defined in the system. This is done by creating a material master record for each material that contains the relevant characteristics. Once the material master record is created, the characteristics can be used in various processes within SAP, such as quality control or production planning. 
  
  Tips & Tricks: 
  When defining material characteristics in SAP, it is important to ensure that all relevant information is included. This will help ensure that the system is able to accurately predict the quality of materials and products. Additionally, it is important to keep the material master records up-to-date with any changes in the characteristics of the materials. 
  
  Related Information: 
  In addition to material characteristics, SAP also uses other types of data to help predict quality. This includes process parameters, such as temperature and pressure, as well as machine parameters, such as speed and torque. Additionally, SAP can use historical data from previous production runs to help predict future quality levels.