In: Operations Management
Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table:
Year | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
Registrations (000) | 5.00 | 7.00 | 3.00 | 5.00 | 9.00 | 9.00 | 7.00 | 11.00 | 13.00 | 14.00 | 12.00 |
a. Calculate the forecasted registrations for years 2 through 12 using exponential smoothing, with a smoothing constant (α) of 0.40 and a starting forecast for 5.00 year 1 (round your responses to one demical place):
Year | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
Forecast (000) | 5.00 | ? | ? | ? | ? | ? | ? | ? | ? | ? | ? | ? |
b. Mean absolute deviation based on the forecast developed using the exponential smoothing method (with a smoothing constant (α) = 0.40 and a starting forecast of F1 = 5.00) is _____ registrations (round your response to one decimal place)
Question: Data collected on the yearly registrations for a Six Sigma seminar at the Quality College are shown in the following table:
Answer:
Calculations:
Excel Formulas Used:
Formulas:
Exponential Smoothing is given by:
Ft+1 = x At + (1 - ) x Ft
Example:
Year 2 = 0.40 x 5.00 + (1 - 0.40) x 5.00 = 5
Year 3 = 0.40 x 7 + (1 - 0.40) x 5.00 = 5.8
Similary we find forecast for rest of the year.
Mean Absolute Deviation (MAD) is given by:
MAD = |Error| / n
Here:
|Error| = |Actual Data - Forecast|
Therefore:
MAD = (0 + 2 + 2.8 + 0.3 + 4.2 + 2.5 + 0.5 + 3.7 + 4.2 + 3.5 + 0.1) / 11
MAD = 23.8 / 11
MAD = 2.2