In: Operations Management
. Using only the New York sales data:
1a. Forecast sales for January 5th through January 30th using exponential smoothing with alpha set to 0.6. Assume the sales forecast for January 4th was 456.
1b. Using your forecasts from 1a, find the mean absolute deviation of the sales forecasts for January 5th through January 29th. Again, you should not include the forecast for January 30 since there is no corresponding sales figure for that date.
1c. Using your forecasts from 1a, find the mean squared error of the sales forecasts for January 5th through January 29th.
Date |
New York |
|||
1/4/18 |
456 |
|||
1/5/18 |
650 |
|||
1/6/18 |
543 |
|||
1/7/18 |
632 |
|||
1/8/18 |
546 |
|||
1/9/18 |
531 |
|||
1/10/18 |
544 |
|||
1/11/18 |
639 |
|||
1/12/18 |
570 |
|||
1/13/18 |
544 |
|||
1/14/18 |
674 |
|||
1/15/18 |
711 |
|||
1/16/18 |
594 |
|||
1/17/18 |
564 |
|||
1/18/18 |
693 |
|||
1/19/18 |
645 |
|||
1/20/18 |
570 |
|||
1/21/18 |
456 |
|||
1/22/18 |
609 |
|||
1/23/18 |
585 |
|||
1/24/18 |
609 |
|||
1/25/18 |
480 |
|||
1/26/18 |
544 |
|||
1/27/18 |
560 |
|||
1/28/18 |
476 |
|||
1/29/18 |
656 |
|||
1/30/18 |
Below is the screenshot of the formula applied -
Below is the screenshot of the result obtained -