1. SAP Glossary
  2. Demand Data Foundation
  3. aggregated order plan


What is aggregated order plan in SAP CA-DDF - Demand Data Foundation?


SAP Term: aggregated order plan

  • Component: CA-DDF

  • Component Name: Demand Data Foundation

  • Description: A set of order quantities aggregated for individual combinations of products, supplying locations, and staging periods within a specific time horizon. The aggregated order plan reflects the quantities planned to be shipped by the individual supplying locations for each product during the staging period over the time horizon. The aggregated order quantities are obtained by summing up operational order plan items, order plan items for aggregation, and open stock transport orders.


Smart SAP Assistant

  • Key Concepts: 
    Aggregated order plan is a component of the Demand Data Foundation (CA-DDF) in SAP. It is used to aggregate and store demand data from multiple sources, such as sales orders, forecasts, and production plans. The aggregated order plan is then used to generate a consolidated demand plan that can be used for planning and decision-making. 
    
    How to use it: 
    The aggregated order plan is used to collect and store demand data from multiple sources. This data can then be used to generate a consolidated demand plan. The demand plan can be used for planning and decision-making purposes, such as determining production schedules, inventory levels, and pricing strategies. 
    
    Tips & Tricks: 
    When using the aggregated order plan, it is important to ensure that the data being collected is accurate and up-to-date. This will help ensure that the demand plan generated is reliable and can be used for effective decision-making. 
    
    Related Information: 
    The aggregated order plan is part of the Demand Data Foundation (CA-DDF) in SAP. Other components of the CA-DDF include the Demand Planning Engine (DPE), the Demand Planning Workbench (DPW), and the Demand Planning Cockpit (DPC). These components are used to manage and analyze demand data in order to generate accurate demand plans.
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