PLEASE DO NOT COPY AND PASTE FROM ANOTHER CHEGG TUTOR.

THE NUMBERS ARE DIFFERENT AND I WILL DOWNVOTE- THEN REPORT- I PAY FOR THIS TO GET ACTUAL HELP.

PLEASE HELP (:

Analytics Exercise 18-1 (Algo) Starbucks has a large, global supply chain that must efficiently supply over 17,000 stores. Although the stores might appear to be very similar, they are actually very different. Depending on the location of the store, its size, and the profile of the customers served, Starbucks management configures the store offerings to take maximum advantage of the space available and customer preferences. Starbucks' actual distribution system is much more complex, but for the purpose of our exercise let's focus on a single item that is currently distributed through five distribution centers in the United States. Our item is a logo-branded coffeemaker that is sold at some of the larger retail stores. The coffeemaker has been a steady seller over the years due to its reliability and rugged construction. Starbucks does not consider this a seasonal product, but there is some variability in demand. Demand for the product over the past 13 weeks is shown in the following table. (week-1 is the week before week 1 in the table, -2 is two weeks before week 1, etc.). Management would like you to experiment with some forecasting models to determine what should be used in a new system to be implemented. The new system is programmed to use one of two forecasting models: simple moving average or exponential smoothing. 3 WEEK -5 -4 -3 -3 -2 -1 1 2 Atlanta 48 33 32 56 33 32 46 35 Boston 57 28 48 44 35 33 33 45 23 62 42 42 45 33 26 38 29 35 58 41 27 28 35 42 42 46 38 36 36 42 Chicago 52 Dallas LA Total 237 155 223 238 187 173 182 185 210 239 273 249 205 218 256 172 236 233 Week a. Consider using a simple moving average model. Experiment with models using five weeks' and three weeks' past data. (Round your answers to 2 decimal places.) 3-week MA 1 2 3 |4 5 6 7 8 9 9 10 11 12 13 5-week MA Week 1 2 3 4 5 6 19 7 8 9 10 11 12 13 3-week MA ATL 5-week MA ATL MAD MAPE TS BOS MAD MAPE TS BOS CHI ATL CHI 7 4 5 6 33 54 28 43 45 48 8 9 10 11 12 20 58 45 35 26 57 32 45 54 20 63 65 30 24 95 34 50 47 69 38 47 62 68 62 47 40 35 40 44 46 46 66 42 35 39 42 45 50 BOS DAL DAL b. Evaluate the forecasts that would have been made over the 13 weeks using the overall (at the end of the 13 weeks) mean absolute deviation, mean absolute percent error, and tracking signal as criteria. (Negative values should be indicated by a minus sign. Round all answers to 2 decimal places. Enter "MAPE" answers as a percentage rounded to 2 decimal places.) LA CHI LA Total DAL Total 13 42 52 46 43 50 LA Avg of DCs