Case Questions

Using the Product Forecasting Information that has been provided from FY$2020$ through FY$2023($four years$),$ calculate the measures of forecast accuracy $($MFE$,$ MAD, and MAPE$)$ for the Weighted Moving Average $($MA$)$ and the Exponential Smoothing $($EXP$)$ approaches to forecasting.

a$)$ What are the values of MFE, MAD, and MAPE for each of these two approaches to forecasting $($MA and EXP$)?$ Which of the approaches is more accurate?

b$)$ Do these forecasts seem adequate for the purposes of decision making? Why or why not?

Product Forecasting Information

Throx uses two main forecasting methods based on annual data to predict orders for the following year, a weighted moving average and exponential smoothing. The table below provides forecast calculations for FY$2017$ through FY$2020,$ along with actual demand experienced in each of those years.

$\backslash$table$[[,\backslash$table$[[$Actual Demand$],[($Three Sock Sets$)]],\backslash$table$[[$Weighted Moving$],[$Average Fcst$]],\backslash$table$[[$Exponential$],[$Forecast$]]],[2020,19,525,15,500,16,300$