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Component: SCM-IBP-PLA
Component Name: Planning Framework
Description: A business process in supply chain management where planning is based on time periods months, weeks, or days, for example. Compared to order-based planning, time-series-based supply planning has a longer-term perspective and is more tactical. It also uses less detailed data: quantities from individual orders are aggregated per time period.
Key Concepts: Time-series-based supply planning is a component of the SAP SCM-IBP-PLA Planning Framework. It is a planning tool that uses historical data to predict future demand and supply. It takes into account factors such as seasonality, trends, and customer preferences to create an accurate forecast. The tool also allows users to adjust the forecast based on their own assumptions and preferences. How to use it: Time-series-based supply planning can be used to create a forecast for any type of product or service. To use the tool, users must first enter historical data into the system. This data can include sales figures, customer preferences, and other relevant information. Once the data is entered, the system will generate a forecast based on the data. Users can then adjust the forecast based on their own assumptions and preferences. Tips & Tricks: When using time-series-based supply planning, it is important to ensure that the data entered into the system is accurate and up-to-date. Additionally, users should take into account any external factors that may affect the forecast, such as changes in customer preferences or economic conditions. Finally, users should regularly review and update their forecasts to ensure they remain accurate. Related Information: For more information about time-series-based supply planning, please refer to SAP’s official documentation on the SCM-IBP-PLA Planning Framework. Additionally, there are many online resources available that provide tips and tricks for using this tool effectively.