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Forecasting methods

Enterprise Planning offers the following methods to compute a demand forecast based on historical data:

  • Moving Average
  • Exponential Smoothing
  • Polynomial Regression
  • Time Series Analysis

You can specify the forecast method in the Plan Items - Forecast Settings (cpdsp1110m000) session.

Related topics
  • Algorithm for demand forecasting
  • Forecast method: moving average
  • Forecast method: exponential smoothing
  • Forecast method: polynomial regression
  • Forecast method: time-series analysis
  • Resource Planning
    • Sourcing strategies overview
    • Defining Sourcing Strategy
    • Sources of supply
    • Supply planning
    • To select suppliers
    • Selecting internal suppliers
    • Selecting External Suppliers
    • Supply chain strategies
    • To plan supply with master planning
    • Time fences in order planning and in master planning
    • To search sourcing strategies
    • To compute supply lead-times
    • To compute purchase order quantities
    • To compute distribution order quantities
    • Demand and Inventory Planning
    • Example of a weighted average of a negative inventory level
    • Demand Planning
      • Demand forecasting in Enterprise Planning
      • Forecasting methods
      • Forecast method: moving average
      • Forecast method: exponential smoothing
      • Forecast method: polynomial regression
      • Forecast method: time-series analysis
      • Forecast errors and seasonal correlation
      • Forecast Distribution Example
      • Demand Forecasting without an Item Master Plan
      • Demand Forecasting with an Item Master Plan
      • Forecast Consumption
      • Algorithm for demand forecasting
      • To compute the demand forecast
      • To add quotations to customer orders
      • Principle of polynomial regression