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Supply and Demand Planning?
The Supply Chain Planning and Control business area enables you to manage your supply and demand planning, and control the material flow. On the basis of an exception-driven approach, you can plan and consolidate procurement requirements, create production plans, and determine and confirm delivery dates. Choose the product specification to easily define and maintain individual customer requirements and product variants. You can also use the ATP based on product availability check with the product specification. You can combine automated operations such as demand forecast runs with manual planning. Additionally, you can manage your resource load and specify resource groups. You can also specify your stock transfer processes.
Demand planning enables the demand planner to forecast demand and subsequently release it to supply chain planning and control, at the level of a product in a specific supply planning area. Demand forecasts are key to supply chain planning – the more transparent and accurate they are, the more effectively companies can plan for future demands. Real-time business data captured from application areas such as sales and supply chain, is stored in one data warehouse. Companies thus have a comprehensive view of all relevant figures today, and the information they need for effective planning in the future.
Demand planning enables the demand planner to make forecasts and use statistical models to create a demand plan used during planning for anticipated product demand. Demand plans are critical to supply chain planning, the more transparent and accurate they are, the more efficiently you can plan for future supplies.
You can select a model variant from a set of forecasting models to create a statistical forecast. The statistical parameters of each model variant that you select can be modified according to the demand patterns of the products in scope. When using automated forecasting, or when planning interactively, one forecasting model variant can be set as default. If required, you can run simulations using different forecasting model variants and parameter settings. Forecasting models include and integrate several properties used to predict future demand:
● Trend – a movement of demand (increase or decrease)
● Seasonality – a pattern of demand that occurs weekly, monthly, or yearly
● Alpha Factor – the level smoothing factor
● Beta Factor – the trend smoothing factor
● Gamma Factor – the seasonality factor
● Periods per Season – the number of weeks or months that comprise a season