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Component: SCM-APO-PPS
Component Name: Production Planning and Detailed Scheduling
Description: The product quantity that is passed on from a receipt element to a requirement element in a pegging relationship. In a manually fixed pegging relationship, a distinction is made between a user-defined "desired pegging quantity" and an "actual pegging quantity" determined by the system. Variances between these quantities may occur if, for example, the desired pegging quantity exceeds the quantity of the receipt element or if the quantity delivered by the receipt element turns out to be smaller than expected due to unforeseen scrap.
Key Concepts: Pegging quantity is a term used in SAP's Production Planning and Detailed Scheduling (SCM-APO-PPS) component. It is a type of quantity that is used to determine the amount of material that needs to be produced in order to meet the demand of a particular product. The pegging quantity is calculated based on the demand for the product, the available inventory, and the production capacity. How to use it: The pegging quantity can be used to determine how much material needs to be produced in order to meet the demand for a particular product. This can be done by entering the demand for the product, the available inventory, and the production capacity into SAP's Production Planning and Detailed Scheduling (SCM-APO-PPS) component. The pegging quantity will then be calculated and displayed. Tips & Tricks: It is important to ensure that the pegging quantity is accurate in order to ensure that enough material is produced to meet the demand for a particular product. It is also important to keep track of any changes in demand or production capacity in order to ensure that the pegging quantity remains accurate. Related Information: The pegging quantity can also be used in conjunction with other SAP components such as Materials Requirements Planning (MRP) and Capacity Requirements Planning (CRP). These components can help to ensure that enough material is produced to meet the demand for a particular product. Additionally, it can help to identify any potential bottlenecks or constraints in production.