3. Attendance at Los Angeles' newest Disney like attraction, Vacation World has been asfollows:QuarterGuestsQuarterGuests(in Thousands)(in Thousands)2017 Q173Q3124Q2104Q452Q31682019 Q189Q474Q21462018 Q165Q3205Q282Q498a. Graph the data. (Use Excel)b. Compute seasonal indices using all the data. (Solve manually)

A seasonal index measures the values/changes of a particular season of a cycle compared to the…

Answered: Graph the data. (Use Excel) b. Compute…

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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Hi, I need help determining the answer to this Operations Management problem. Thanks!
A dry cleaner uses exponential smoothing to forecast equipment usage at its main plant. August usage was forecasted to be 45 percent of capacity, actual usage was 52 percent of capacity. A smoothing constant of .05 is used. a. Prepare a forecast for September. (Round your final answer to 2 decimal places.) Forecast for September percent of capacity b. Assuming actual September usage of 52 percent, prepare a forecast for October usage. (Round your answer to 2 decimal places.) Forecast for October percent of capacity
What is the importtance of forecasting room availability and room revenue for Front Office Managers.
The actual values for a data set all range between 100 and 200, and a manager develops a forecast model for the data. If the mean squared error and the mean absolute deviation error measurements for forecast are identical, what can we conclude about the forecast? a. This is mathematically impossible. b. The forecast is accurate. c. The forecast tends to overpredict. d. The forecast tends to underpredict.
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?
Forecast error is calculated as: Actual - Forecast O Forecast - Actual (Forecast - Actual) ^ 2 Absolute (Actual - Forecast) (Actual - Forecast) ^ 2
Respond to each of the items using the following time series data. Period Demand 144 2 172 3 157 4 160 144 181 7 160 8 176 9. 149 10 183 11 182 12 149 13 153 14 164 15 153 16 104 Click here for the Excel Data File b. Compute all possible forecasts using a five-period moving average. (Round your answers to 1 decimal place.) Absolute Period Demand 5-period SMA Errors 1 144 172 3 157 4. 160 5 144 181 7 160 8 176 9 149 10 183 11 182 12 149 13 153 14 164 LO
a. What is the mean square error for time periods 2 through 4 using the average forecasting method? b. What is the mean absolute error for time periods 2 through 4 using the average forecasting method? c. What is the mean absolute percentage error for time period 2 through 4 using the average forecasting method? Round all answers to two decimal places. Time Period 1 2 3 4 Mean absolute error (MAE) Mean squared error (MSE) Mean absolute percentage error (MAPE) Electric Bill 510 315 420 480 Average Forecast Forecast Error
Which of the following is NOT a typical application of analytics in operations and supply chain management? Question 4 options: Capacity and scheduling Logistics and sourcing All of these choices are typical applications. Forecasting
Answer number 1 only. Full solution. Unique answers only.
1. The following table gives the number of pints of type A blood used at Damascus Hospital in the past 6 weeks: Part 2 Week Of Pints Used August 31 350 September 7 372 September 14 412 September 21 381 September 28 366 October 5 378 Part 3 a) The forecasted demand for the week of October 12 using a 3-week moving average LOADING... = _____________pints (round your response to two decimal places).

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Graph the data. (Use Excel) b. Compute seasonal indices using all the data. (Solve manually) а.