What are the advantages and disadvantages of aggregating deman from a forecasting view? Are there other things that should be considered when going from multiple DC (Distribution Centers) to a DC?

Explain different forecasting techniques like moving averages, exponential smoothing, regression etc.

Which type of forecasting approach, qualitative or quantitative, is better?

Below is data of lobster sales volume from a seafood company. We are using exponential smoothing (α = 0.5) and 3-year moving average to forecast it. Please fill the blanks above and write your processes below.  What are the mean absolute deviations (MADs) of the two methods? Which method will you choose based on the results?

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?

There are two major ways of gaining data for the technology forecast. Which one you prefer using for technology forecasting?

The topic of technology forecasting adopts  a  broad  definition  that  incorporates  competitive  technical  intelligence, foresight,  impact  assessment,  risk  assessment,  and  technology  road  mapping. Which of these topics is the highest of importance in technology forecasting?

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 9 13 8 11 14 9 13 7 Part 2 Using exponential smoothing with α ​= 0.40 and a forecast for year 1 of 5.0​, provide the forecast from periods 2 through 12 ​(round your responses to one decimal​ place).   Year 1 2 3 4 5 6 7 8 9 10 11 12 Forecast 5.0 5.45.4 6.46.4 5.55.5 6.96.9 9.39.3 8.88.8 9.79.7 11.411.4 10.410.4 11.511.5 9.79.7 Part 3 Provide the forecast from periods 2 through 12 using the naive approach ​(enter your responses as whole​ numbers).   Year 2 3 4 5 6 7 8 9 10 11 12 Forecast enter your response here enter your response here enter your response here enter your…

please solve it using excel and show the equations and pugging the numbers

4 Trinity General Hospital had the following number of patient admissions during the past 8 weeksWeek                          Patient                                Admissions1                                   1202                                   1453                                     954                                   1125                                   1306                                   1107                                   1008                                   140 a. Develop a 3-week weighted average forecast forWeek 4 through 9 with weightsW1 = 0.2W2 = 0.3W3 = 0.5 b. Forecast patient admissions for week 9 using simpleexponential smoothing with α = 0.2. Assume that the forecast for Week 2 (F2) is the naïve forecast.