Given below are the demands of a certain product over the past 10 weeks.Week| 1 2 3 4 | 5 67|89 | 10Demand 50 64 66 68 67 63 69 67 65 66(a) Forecast the demand for the 13th week using the following techniques:i. 3- week weighted moving average with weights 0.2, 0.3, and 0.5ii. Exponential smoothing with a smoothing constant equal to 0.85ii. Adjusted exponential smoothing with a smoothing constant equal to 0.85 andsmoothing constant for trend equal to 0.65(b) Compute for the accuracy of each model using the mean squared error. Based onthe computed MSE, what is the best forecasting technique for this time series?

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Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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6. Consider the following data table. (12 Points) a) Forecast demand using exponential smoothing with an apha of 0.25, and an initial forecast of 128.0 for period 1. b) Calculate the MAD and MSE. Period Real demand 130 138 129 140 3 4 5 133
please answer in excel Jean’s Copiers sells and repairs photocopy machines. The manager needs weekly forecasts of service calls so that she can schedule the personnel. The manager uses α = 0.3 for exponential smoothing, and the forecast for the first week was 24 calls. The manager also uses 3 weekly moving averages technique. a) Using 3 period moving averages, forecast the number of calls for week 7. b) Using exponential smoothing, forecast the number of calls for week 7. c) Compare these two forecasting techniques using Mean Squared Errors (MSE) measure. Which one is better?
Marianne Schwartz, the owner of Handy Man Rentals, rents carpet cleaners to contractors and walk-in customers. She is interested in arriving at a forecast of rentals so that she can order the correct quantities of supplies that go with the cleaners. Data for the last 10 weeks are shown here. Part 2 Week 1 2 3 4 5 6 7 8 9 10 Rentals 23 22 25 23 22 11 21 34 19 13 Part 3 a. Prepare a forecast for weeks 6 through 10 by using a 4-week moving average LOADING... . (Enter your responses rounded to two decimal places.) Week Forecast 6 enter your response here Part 4 7 enter your response here Part 5 8 enter your response here Part 6 9 enter your response here Part 7 10 enter your response here Part 8 What is the…
Assume that your stock of sales merchandise is maintained based on the forecast demand. If the distributor's sales personnel call on the first day of each month, compute your forecast sales by each of the three methods requested here. June July August ACTUAL 144 184 210 a. Using a simple three-month moving average, what is the forecast for September? Note: Round your answer to 2 decimal places. Forecast for September b. Using a weighted moving average, what is the forecast for September with weights of 0.30, 0.40, and 0.30 for June, July, and August, respectively? Note: Do not round intermediate calculations. Round your answer to 2 decimal places. Forecast for September
Interpret the MAD of the most accurate among the forecasting models below. A. Naïve approach;B. 5-month SMA model;C. WMA model with weights 0.1, 0.3, and 0.6; orD. ES model with α = 0.5 and a forecast of 3,500 liters in the first month.
b5 need urgent in 15 minutes
Problem 3
Investigate the role of demand forecasting and data analytics in enhancing the accuracy of the Wilson approach.
The following gives the number of pints of type Bblood used a t Woodlawn Hospital in the past 6 weeks: a) Forecast the dema nd for the week of October 12 using a3-week moving average.b) Use a 3-week weighted moving average, with weights of .I , .3,and .6, using .6 for the most recent week. Forecast demand forthe week of October 12.c) Compute the forecast for the week of October 12using exponentialsmoothing with a forecast for August 31 of 360 and a = .2
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.
Passenger miles flown on Northeast Airlines, a commuter firm serving the Boston hub, are shown for the past 12 weeks: 2 3 21 19 Week 1 Actual Passenger Miles (in thousands) 17 Week Forecasted Passenger Miles (in thousands) a) Assuming an initial forecast for week 1 of 17,000 miles, use exponential smoothing to compute miles for weeks 2 through 12. Use α = 0.2 (round your responses to two decimal places). 10 11 4 5 6 7 8 9 23 18 16 20 18 22 20 15 2 1 3 4 6 7 17.00 17.00 17.80 18.04 19.03 18.83 18.26 5 8 18.61 9 18.49 19.19 10 12 22 11 12
1 The demand for automobiles at Crescent Auto Dealers for the past 8 weeks is as follows. Week Auto Demand Weights1 9 0.12 11 0.33 8 0.64 125 106 137 78 12a Develop a 3-week moving average forecast for Weeks 4 through 9b Develop a 3-week weighted average forecast…

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