The table below shows actual demands for Fastway. Week Actual demand 20 63 21 62 22 67 23 66 24 67 25 69 26 65 27 71 28 68 29 68 30 70 31 72 32 66 33 68 34 67 Predict the forecast for week 35 using an exponential smoothing with a smoothing constant of 0.20.

Plot these forecasts AND the original demand data on graph paper or spreadsheet. Use a key to distinguish among your three lines. Please use the graph in the attached picture for the answer.

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Tasty Bread Company has monthly demand for one of its products as follows: March= 520; April=490; May=550; June=580; July=600; August=420. Compute the three-month moving average for July.

Prepare a Demand Forecast for “Year 5” using Excel. Quarterly Data for Cars Sales     Yt Year Quarter Sales (1000s) Year 1 1 4.80   2 4.10   3 6.00   4 6.50 Year 2 1 5.80   2 5.20   3 6.80   4 7.40 Year 3 1 6.00   2 5.60   3 7.50   4 7.80 Year 4 1 6.30   2 5.90   3 8.00   4 8.40 Year 5 1     2     3     4

1. Katherine is a forecast manager. She used exponential smoothing to forecast her sales with alpha equals 0.25. Her forecast for this week was 161 but the actual number is 232. What is her forecast for next week?2. Blue Pad Company’s lead time L is1week and demand rate is119units per week.Holding cost is $29 per unit and ordering cost is $281. Assume 52 weeks in a year.What is the EOQ? Keep two decimal points!3.Blue Pad Company’s lead time L is3week and demand rate is123units per week.Holding cost is $70 per unit and ordering cost is $726. Assume 52 weeks in a year.What is the ROP?4. Lugini Watch’s annual demand is 107. It can produce at a rate of 19 watches per month with a $249 setup cost for the production run. Find the order quantity (EPQ) assuming carrying cost is $57 per unit a year. Keep two decimal points!5. Lugini Watch’s annual demand is 108. It can produce at a rate of 24 watches per month. Using the…

The following table shows the actual demand observed over the last 11 years: Year 1 Demand 8 2 9 3 5 This exercise contains only parts b, c, and d. b) Using the 3-year moving average, provide the forecast from periods 4 through 12 (round your responses to one decimal place). Year Forecast 4 5 4 10 6 5 13 7 6 7 8 7 11 9 8 14 10 9 8 11 10 13 12 11 8

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…

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