Chapter 15- Demand Forecasting

Business

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Strategic forecasts
Medium and long term forecasts taht are used to make decisions related to design and plans for meeting demand
Tactical forecasts
Short term forecasts used as input for making day to day decisions related to meeting demand
Dependent demand
Requirements for a product or service caused by the demand for other products or services-internal demand does not need a forecast, can be calculated based on the demand for the other products or services
Independent demand
Demand that cannot be directly derived from the demand for other products
Time series analysis
Type of forecast in which data relating to past demands are sued to predict future demand
Exponential smoothing
Time series forecasting technique in which each increment of past demand data is decreased by (1- a)
Smoothing constant alpha (a)
The parameter in the exponential smoothing equation that controls the speed of reaction to differences between forecasts and actual demand
Mean absolute deviation (MAD)
The average forecast error using absolute values of the error of each past forecast
Mean absolute percent error (MAPE)
Mean absolute deviation divided by the average demand-avg error expressed as a percentage of demand
Tracking signal
Measure that indicates whether the forecast average is keeping pace with any genuine upward or downward changes in demand
Forecasting is the basis of
Corporate long run planning
The closer the decoupling point is to the customer
The quicker the customer can be served
A perfect forecast is
Impossible practically
Demand management
To coordinate and control all sources of demand so the supply chain can be run efficiently and the product delivered on time
Forecasting can be classified as
1. qualitative2. time series analysis3. casual relationships4. simulation