3. The following time series represent the annual demand for 50 lb bags of fertilizer for a garden supply company between 1991 and 2002.
Year | Bags
1991 | 4000
1992 | 6000
1993 | 4000
1994 | 5000
1995 | 10,000
1996 | 8000
1997 | 7000
1998 | 9000
1999 | 12,000
2000 | 14,000
2001 | 15,000
2002 | 14,000
a. Use a 2-period moving average to forecast the demand for the bags of fertilizers in 2003.
b. Use a 3-period moving average to forecast the demand for the bags of fertilizers 2003
c. Which averaging period provides a better historical fit in your opinion and why?
d. Use a 3-period weighted moving average to forecast the demand for the bags of fertilizers in 2003. Use solver to determine the optimal weights based on minimizing the MAPE criterion.
e. Use exponential smoothing with a smoothing constant of 0.8 (remember the difference between the smoothing constant and the damping factor on Excel) to forecast the demand for the bags of fertilizers in 2003.
f. Use exponential smoothing with a smoothing constant of 0.5 to forecast the demand for the bags of fertilizers in 2003.
g. Which one of the above (part e or part f) is a more accurate forecast. Explain in detail.
a. 2-period moving average to forecast the demand for the bags of fertilizers in 2003.
|
2001 |
15,000 | 2-period moving average |
| 2002 | 14,000 | = 15000+14000 ) /2 = |
| 2003 | = 14500 |
b. 3-period moving average to forecast the demand for the bags of fertilizers 2003
| 2000 | 14,000 | |
|
2001 |
15,000 | 2-period moving average |
| 2002 | 14,000 | = 14000+15000+14000 +) /3 = |
| 2003 | = 14333.33 |
c. period 3 years of moving average is better because greater the number of periods in the moving average, smoother will be average demand forecasing .
3. The following time series represent the annual demand for 50 lb bags of fertilizer for...
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