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How do you calculate the next forecast in exponential smoothing with a smoothing constant of 0.2?

To calculate the next forecast, you use the weighted average form of the exponential smoothing formula: Ft+1=αAt+(1−α)FtF_{t+1} = \alpha A_t + (1 - \alpha)F_t. With a smoothing constant of α=0.2\alpha = 0.2, the formula becomes Ft+1=0.2(At)+0.8(Ft)F_{t+1} = 0.2(A_t) + 0.8(F_t). You multiply the most recent actual sales value by 0.2 and add it to the previous forecast value multiplied by 0.8.

Conditions

  • The smoothing constant is α=0.2\alpha = 0.2.
  • You know the actual sales value for the current period (AtA_t).
  • You know the forecast value for the current period (FtF_t).

Reasoning, step by step

  1. Identify the actual sales value for the current period (AtA_t) and the forecast value for the current period (FtF_t).
  2. Multiply the actual sales value by the smoothing constant: 0.2×At0.2 \times A_t.
  3. Multiply the forecast value by the complement of the smoothing constant: 0.8×Ft0.8 \times F_t.
  4. Add the two products together to find the forecast for the next period (Ft+1F_{t+1}).

Example

To calculate the forecast for week 5 (F5F_5), the video uses the actual sales for week 4 (A4=45A_4 = 45) and the forecast for week 4 (F4=40.00F_4 = 40.00). The calculation is F5=0.2(45)+0.8(40.00)=9+32=41.00F_5 = 0.2(45) + 0.8(40.00) = 9 + 32 = 41.00.

Common misconceptions

  • Multiplying the actual sales by 0.8 and the forecast by 0.2 instead of the correct weights.
  • Forgetting to multiply the forecast value by 0.8 and simply adding it to the weighted actual sales.

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Answers are generated from source material and independently checked. Consult the original video or creator if something is unclear.