Qualitative forecasts and causal forecasts are not particularly useful as inputs to inventory and scheduling decisions. Why is this statement true?

Can you please solve all parts of the question manually. Thank you!

The Yummy Ice Cream Company projects the demand for ice cream by using first-order exponential smoothing. Last week the forecast was 100,000 gallons of ice cream, and 90,000 gallons was actually sold.   Using alpha=.1, prepare a forecast for next week.     Calculate the forecast using Alpha=.2 and Alpha=.3 for this problem. Which values of Alpha gave the best forecast, assuming actual demand for next week ends up being 95,000 gallons?

Here are the actual tabulated demands for an item for a nine-month period (January through September). Your supervisor wants to test two forecasting methods to see which method was better over this period.   MONTH ACTUAL January 120 February 145 March 146 April 171 May 154 June 182 July 138 August 135 September 146     a. Forecast April through September using a three-month moving average. b. Use simple exponential smoothing with an alpha of  0.20 to estimate April through September, using the average of January through March as the initial forecast for April.  c-1. Calculate MAD for Three-month moving average and Exponential smoothing. c-2. Use MAD to decide which method produced the better forecast over the six-month period.

The worksheet Hudson Demand Case Data in MindTap provides the number of visits over one year from January to December (52 weeks). Chart the data and explain the characteristics of the time series. How would you forecast future demand for customer visits? What criteria will you use to determine a “good” forecast? What methods would you use, and why? What is your final recommendation with respect to a forecasting method? Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer. Take care of plagiarism. Answer completely. You will get up vote for sure.

Explain why is accurate forecasting so important to companies that use a continuous replenishment inventory system?

The following table shows the actual demand observed over the last 11​ years:                                                                                                                                             Year 1 2 3 4 5 6 7 8 9 10 11 Demand 6 8 4 7 11 7 13 12 10 13 8 This exercise contains only parts​ b, c, and d. Part 2 ​b) Using the​ 3-year moving​ average, provide the forecast from periods 4 through 12 ​(round your responses to one decimal​ place).                                           Part 3 ​c) Using the​ 3-year weighted moving average with weights   0.10​,   0.30​, and   0.60​, using   0.60 for the most recent​ period, provide the forecast from periods 4 through 12​ (round your responses to two decimal​ places).                                           Part 4 ​d) Mean absolute deviation for the forecast developed…

If month one has 240,000 demands, month two 250,080 demands, month three 325,00 demands, month four 370,000 demands, month five 420,000 demands and month six 509,00 demands. Use a forecast for the first month of 240,000, an initial trend forecast of 50,000, and smoothing parameters of 0.35 for both demand smoothing and trend smoothing. Compute the forecasts and trends using double exponential smoothing

The following table shows the actual demand observed over the last 11​ years:                                                                                                                                             Year 1 2 3 4 5 6 7 8 9 10 11 Demand 7 9 6 10 12 7 12 12 9 9 8 Part 2 Using exponential smoothing with   α ​=   0.30 and a forecast for year 1 of   6.0​, provide the forecast from periods 2 through 12 ​(round your responses to one decimal​ place).                                                       Part 3 Provide the forecast from periods 2 through 12 using the naive approach ​(enter your responses as whole​ numbers).

Use exponential smoothing with trend adjustment to forecast deliveries for period 5. Let α = 0.1, β = 0.2, and let the initial trend value be 4 and the initial forecast be 200 (both are given in the table).    (a) Complete the table below and to predict the demand for Period 5 (See image).                         Show the calculations for the demand for Period 2.    (b) Based on the actual demands of the first 4 periods forecast the demand for period 5 using the linear regression method.       (c) Which method performs better based on the actual demand for period 5? Why do you think so?