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Component: CA-ATP
Component Name: Available-to-Promise (ATP)
Description: In the Manage Product Allocation Sequences Fiori app, the following details of the consumption strategy are defined for product allocation sequences: The number of time periods in which the system searches for available allocation quantity Whether past periods shall be used for consumption Which consumption direction shall be used when the user executes an availability check against product allocation see also consumption direction
Key Concepts: Consumption strategy is a component of SAP's Available-to-Promise (ATP) module in the CA-ATP component. It is used to determine the availability of materials for a sales order. The consumption strategy defines how the system should calculate the availability of materials for a sales order. It also determines how the system should react when there is an insufficient quantity of materials available. How to use it: The consumption strategy is used to determine the availability of materials for a sales order. The system will check the availability of materials based on the consumption strategy and then either accept or reject the order. The consumption strategy can be set up in the SAP system by going to the Customizing menu and selecting Consumption Strategy. Tips & Tricks: When setting up a consumption strategy, it is important to consider how it will affect the availability of materials for a sales order. For example, if a company has limited stock, it may be beneficial to set up a consumption strategy that will reject orders if there is not enough material available. This will help ensure that orders are not accepted if there is not enough material available to fulfill them. Related Information: The consumption strategy is closely related to other components of SAP's Available-to-Promise (ATP) module, such as ATP Check and ATP Grouping. The ATP Check component determines whether or not an order can be accepted based on the availability of materials, while the ATP Grouping component determines how multiple orders should be grouped together for processing.