2. Next, consider using a simple exponential smoothing model. In your analysis, test two alpha values, 0.2 and 0.4. Use the same criteria for evaluating the model as in question 1. When using an alpha value of 0.2, assume that the forecast for week 1 is the past three-week average (the average demand for periods 3, 2, and 1). For the model using an alpha of 0.4, assume that the forecast for week 1 is the past five-week average.

Request assistance with questions 2, 3 and 4. I have attached the Excel sheet I completed with the formulas used for question 1 but am unsure how to use excel and the excel formulas to answer question 2. Could you assist? I have copied the questions for easier viewing just in case. I can submit a separate request for 3 and 4 if need be.

TS) = CFE/MAD of the customers served, Starbucks management configures the store offerings to take maximum advantage of the space available and customer preferences. table. Questions Excel: Starbucks Data 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. (the average demand for periods 3,2, and -1 ). For the model using an alpha of 0.4 , assume that the forecast for week 1 is the past five-week average. 4. What are the advantages and disadvantages of aggregating demand from a forecasting view? Are there other things that should be considered when going from multiple DCs to a DC ? Starbucks Data IS) = CFE /MAD