15 of 29 As manager of a retail outlet readying for an uncertain Christmas season, you're not sure how many extra staff to hire and you must pre-commit (decide before knowing busyness). What is the most you would be wiling to pay for a perfect forecast of season busyness? (Choose the closest maximum price). Season Quiet (50% Eke hood) Busy (50% fikelihood) Low staff levels High staff levels $15,000 $10.000 $22,000 $54.000 OA $2500 OB. $2100 OC. $2300 OD. $1900 lUnsure
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- Urgent plz: None of answers provided previously were correct. Need correct answers. Organized A statistical program is recommended. The quarterly sales data (number of copies sold) for a college textbook over the past three years follow. Quarter Year 1 Year 2 Year 3 1 1,690 1,800 1,850 2 940 900 1,100 3 2,625 2,900 2,930 4 2,500 2,360 2,615 compute the quarterly forecasts for year 4. (Round your answers to the nearest ten.) quarter 1 forecast ________ quarter 2 forecast_______ quarter 3 forecast ________ quarter 4 forecast _______ Based upon the seasonal effects in the data and linear trend, compute the quarterly forecasts for year 4. (Round your answers to the nearest ten.) quarter 1 forecast ________ quarter 2 forecast_______ quarter 3 forecast ________ quarter 4 forecast _______CENGAGE MINDTAP Chapter 09 Homework: Forecasting and Demand Planning Questions Problem 9-21 Algo (Basic Concepts in Forecasting) 1. 2. 3. 4. O O X Compute MSE, MAD, and MAPE for the following customer satisfaction data: ● MSE: MAD: MAPE: Icon Key Month 1 2 4 5 Do not round intermediate calculations. Round your answers to three decimal places. Problem 9-21 Algo (Basic Concepts in Forecasting) 3 Customer Satisfaction Score 88.1 87.4 90.1 92.7 91.0 Forecast 83.0 86.6 88.5 89.2 89.9 Q Search this course ✪ x Question 1 of 4 ► Check My Work (1 remaining) Check My Work (1 remaining) Question 1 of 4 ►Problems: 1. A dry cleaner uses exponential smoothing to forecast equipment usage at its main plant. August usage was forecasted to be 90 percent of capacity; actual usage was 87.6 percent of сарacity. A smoothing constant of .1 is used. a. Prepare a forecast for September. b. Assuming actual September usage of 92 percent, prepare a forecast for October usage. 2. An electrical contractor's records during the last five weeks indicate the number of job requests: Week: 3 4 30 32 28 Requests: 32 31 Predict the number of requests for week 6 using each of these methods: a. Naive. b. A four-period moving average.
- The following are some check points: * Problem 6: Month 9 forecast: 26.333; Month 9 error: -3.333 * Problem 7: Month 7 forecast: 22.68; Month 7 error -0.68 * Problem 16A: ROLLED DOWN unit forecast for part C is 22, F is 2, I is 254, and L is 3.Compute for MAD, MSE and MAPE using Moving Average Model (past 3 Weeks), В. А. Exponential Smoothing Model (a = 0.2) С. What is your sales forecast for Period 8 using A and B? Period Actual Sales Forecast Error Error Error |Error %| 1 39 44 3 40 4 45 5 38 6. 43 7. 39 MAD MSE МАРЕ Compute for MAD, MSE, and MAPE using the Moving Average Model (past 3 weeks). Use two decimal places and do not put unit of measurement (UoM). (for example 35.00 or 35.40) MAD is Blank 1. MSE is Blank 2. MAPE is Blank 3%. Blank 1 Add your answer Blank 2 Add your answer Blank 3 Add your answer Compute for MAD, MSE, and MAPE using the Exponential Smoothening Model (a=0.2). Use two decimal places and do not put unit of measurement (UoM). (for example 35.00 or 35.40) MAD is Blank 1. MSE is Blank 2. MAPE is Blank 3%. Blank 1 Add your answer Blank 2 Add your answer Blank 3 Add your answer What is your sales forecast for period 8 using Moving Average Model and Exponential Smoothing Model? Use two decimal places and…Which of the following statements about forecasting based on big data analytics is true? Question 5 options: Most firms should outsource this analysis. Most firms have all of the resources needed to do this analysis. Most firms may need to acquire new resources to do this analysis. All are true statements regarding big data analytics.
- Which step is NOT spelled out in the management process:a) Planningb) Predictingc) Staffingd) Leadinge) ControllingObservations Actual Data Forecast 1 240 192.39 2 207 202.15 3 168 189.27 Calculate MAD, MSE, MAPE & U All calculations are supposed to be done by hand, not on Excel. Here is the formula sheet12. How and when would an organization use a: Standing plan Single-use plan 13. Why would a food and nutrition organization benefit from bot short- and long-range plans?
- On Week a) Item: P24 hand 1 2 3 4 5 6 7 8 Forecast 30 30 30 40 40 40 45 45 Customer Orders 13 8 4 PAB 20 Available to Promise MPS b) Determine if each customer order will be accepted. Order Amount Week Accept (Y/N) 1 40 2 30 3 4 30 25 462M 3 Update the MPS time-phased record for accepted orders. Item: P24 Forecast Customer Orders Problem 3: The MPS planner at Murphy Motors uses MPS time-phased records for planning end-item production. The planner is currently working on a schedule for the P24, one of Murphy's top-selling motors. The planner uses a production lot size of 70 and a safety stock of 5 for the P24 motor. a) Complete the MPS time-phased record for product P24. Use the table on the left. b) Determine if Murphy Motors can accept each of the following customer orders. Update the MPS time- phased record for accepted orders. Order 1234 Amount 40 Desired Week 4 30 30 25 623 8 4 On Week hand 1 2 3 4 5 6 30 30 30 40 40 40 74 45 45 PAB 20 Available to Promise MPS On hand = 201. How does long term capacity strategy affect the stability of business organization, give an example of long-term capacity strategy. 2. In opening a restaurant, what might be the kind of forecast you think would be appropriate?Problem Answer ALL questions from this section. Write your answers on the supplied answer sheet. Show sufficient work. If necessary, round intermediate calculations and final answers to three decimal places. J 1. The manager of a crew that installs carpeting has tracked the crew's output over the past several we eks, obtaining these figures: Week 10 20 30 43 50 6 Crew Size تمه 30 45 Yards Installed 96- 72- 92- 50, 699 52- 20 39 2₂ Compute the labor productivity for each of the weeks. On the basis of your calculations, what can you conclude about crew size and productivity?