Thank you for visiting Given an actual demand of 100 a forecasted value of 94 and an alpha of 0 4 the simple exponential smoothing forecast for the next. This page is designed to guide you through key points and clear explanations related to the topic at hand. We aim to make your learning experience smooth, insightful, and informative. Dive in and discover the answers you're looking for!
Answer :
The correct option is 96.4.Simple exponential smoothing (SES) is a type of time-series forecasting method that calculates the weighted average of the past time-series data. The method calculates the weighted average of past periods to give more importance to recent data.
The forecast is generated by taking the most recent data point and adding a portion of the forecast error (alpha), which is a value between 0 and 1.In this case, the actual demand is 100, the forecasted value is 94, and the value of alpha is .4.
Thus, the forecast for the next period would be: Next period forecast = Alpha (Last Period Demand) + (1-Alpha) (Last Period Forecast) = (.4)(100) + (.6)(94) = 40 + 56.4 = 96.4Therefore, the correct option is 96.4.
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