What is time-series-based supply planning algorithm in SAP SCM-IBP-PLA - Planning Framework?

SAP Term: time-series-based supply planning algorithm

• Component: SCM-IBP-PLA

• Component Name: Planning Framework

• Description: A planning function that calculates the flow of products through the supply chain to satisfy customer demand. Time-series-based supply planning algorithms can be run in the SAP IBP, add-in for Microsoft Excel. They are applied to order data that has been aggregated per time period.

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• Key Concepts: 
  Time-series-based supply planning algorithm is a component of the SAP SCM-IBP-PLA Planning Framework. It is an advanced algorithm that uses historical data to predict future demand and supply patterns. The algorithm takes into account factors such as seasonality, trends, and other external influences to create an accurate forecast. This helps organizations to plan their supply chain operations more effectively and efficiently. 
  
  How to use it: 
  The time-series-based supply planning algorithm can be used in conjunction with other components of the SAP SCM-IBP-PLA Planning Framework. It can be used to create a forecast of future demand and supply patterns, which can then be used to plan inventory levels, production schedules, and other supply chain operations. The algorithm can also be used to identify potential risks and opportunities in the supply chain. 
  
  Tips & Tricks: 
  When using the time-series-based supply planning algorithm, it is important to ensure that the historical data used is accurate and up-to-date. This will help ensure that the forecast created is as accurate as possible. Additionally, it is important to consider external factors such as seasonality and trends when creating the forecast. 
  
  Related Information: 
  For more information on the SAP SCM-IBP-PLA Planning Framework, please refer to the official SAP documentation. Additionally, there are many online resources available that provide further information on time-series-based supply planning algorithms and their use in SAP systems.