What is 'retention quantity determination table' in SAP SCM-APO-SPP - Service Parts Planning?

retention quantity determination table - Overview

• Component: SCM-APO-SPP

• Component Name: Service Parts Planning

• Description: Table in which minimum retention quantities are defined depending on the procurement costs of products. In the retention quantity determination table RQDT, you specify cost intervals for the procurement of products and assign values for minimum retention quantities to these procurement cost intervals. In this way the system can assign a minimum retention quantity to each product depending on its procurement costs.

retention quantity determination table - Details

• 
  Key Concepts: 
  Retention quantity determination table is a feature of SAP SCM-APO-SPP Service Parts Planning. It is used to determine the amount of spare parts that should be kept in stock in order to meet customer demand. The table contains information about the expected demand for each part, as well as the lead time for each part. This information is used to calculate the optimal amount of parts that should be kept in stock. 
  
  How to use it: 
  The retention quantity determination table can be accessed through the SAP SCM-APO-SPP Service Parts Planning module. Once accessed, users can enter the expected demand and lead time for each part into the table. The system will then calculate the optimal amount of parts that should be kept in stock. 
  
  Tips & Tricks: 
  It is important to keep the retention quantity determination table up to date with accurate information about expected demand and lead time for each part. This will ensure that the optimal amount of parts are kept in stock at all times. 
  
  Related Information: 
  The retention quantity determination table is closely related to other features of SAP SCM-APO-SPP Service Parts Planning, such as inventory optimization and demand forecasting. These features can be used in conjunction with the retention quantity determination table to ensure that customer demand is met while minimizing inventory costs.