What is correlation calculation in SAP SCM-APO-ATP - Global Available-to-Promise?

SAP Term: correlation calculation

• Component: SCM-APO-ATP

• Component Name: Global Available-to-Promise

• Description: Method Partial confirmation logic In partial confirmation logic, the confirmed quantities of all components are adjusted in accordance with the minimum number of components available. Total confirmation logic In total confirmation logic, the confirmed quantities of all components remain unchanged.

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• Key Concepts: 
  Correlation calculation is a feature of SAP's Global Available-to-Promise (ATP) component of the Supply Chain Management (SCM) module. It is used to determine the availability of a product or service based on the current stock levels, production capacity, and other factors. The correlation calculation takes into account all relevant data points to provide an accurate estimate of availability. 
  
  How to use it: 
  The correlation calculation can be used to determine the availability of a product or service in real-time. This can be done by entering the relevant data points into the system, such as current stock levels, production capacity, and other factors. The system will then calculate the availability based on these data points and provide an accurate estimate. 
  
  Tips & Tricks: 
  When using the correlation calculation, it is important to ensure that all relevant data points are entered accurately. This will ensure that the system provides an accurate estimate of availability. Additionally, it is important to regularly update the data points in order to ensure that the system is providing up-to-date information. 
  
  Related Information: 
  The correlation calculation is part of SAP's Global Available-to-Promise (ATP) component of the Supply Chain Management (SCM) module. Other features of this component include demand forecasting, inventory optimization, and supply chain visibility. Additionally, SAP offers a range of other SCM modules that can be used to manage and optimize supply chains.