In: Operations Management
3. Chapter 3: Using the table below, calculate the following: MAD, MSE, MAPE. What do you conclude?
Period | Demand | Predicted |
1 | 129 | 124 |
2 | 194 | 200 |
3 | 156 | 150 |
4 | 91 | 94 |
5 | 85 | 80 |
6 | 132 | 140 |
7 | 126 | 128 |
Question: Using the table below, calculate the following: MAD, MSE, MAPE. What do you conclude?
Answer:
Overall calculation:
Excel formulas:
Formulas:
Mean Absolute Deviation (MAD) is given by:
MAD = |Error| / n
Here: |Error| = |Demand - Predicted|
Mean Squared Error (MSE) is given by:
MSE = Error^2 / n
Here: Error^2 = (Demand - Predicted)^2
Mean Absolute Percent Error (MAPE) is given by:
MAPE = Error % / n
Here: Error % = (|Error| / Demand) x 100
Conclusion: The MAD and MAPE is lowest and bit closest to the actual demand, MSE is not under the threshold. Here MAD = 5, MAPE = 3.95 which dipicts accurate forecasting and MSE = 28.43. The smaller the error the good and accurate the forecasting is.