A dry cleaner uses exponential smoothing to forecast equipment usage at its main plant. August usage was forecasted to be 45percent 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 Septemberpercent of capacityb. Assuming actual September usage of 52 percent, prepare a forecast for October usage. (Round your answer to 2 decimal places.)Forecast for Octoberpercent of capacity

Formula = Forecast for previous period+Smoothing constant(Actal usage- Forecast for previous period)…

Answered: A dry cleaner uses exponential…

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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A. Find the tracking signal for each month. B. Does the model provide acceptable answers!
2)Auto sales over a 4-month period were forecasted as follows: 89, 98, 105, and 97. The actual results over the 4-month period were as follows: 92, 96, 101, and 100. What was the MAD of the 4-month forecast? (use an excel sheet to make all calaculations and show formulas used in excel)
4. An electrical contractor's records during the last five weeks indicate the number of job requests: 1 3 20 18 Week Requests 2 22 4 21 5 22 Predict the number of requests for week 6 using each of these methods: a. Naive b. A four-period moving average c. Exponential smoothing with a = 30; use 20 for week 2 forecast
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eBook Problem 6-05 Consider the following time series data. 3 16 Week 1 Week 2 Value 18 13 a. Choose the correct time series plot (1) € (!!!) Time Series Value Time Series Value 28642986420 284H2G86420 1 4 11 2 {B} 2 TH 3 Week (t) Week (t) 5 6 € (iv) Time Series Value Time Series Value 28642 NO 28642 NO 1 2 2 4 3₁ Week (t) Week (t) 5 6
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Assume that the data in columns A and B report the new constructions of residential homes, per month, in thousands, from 2015 to 2020 in the state of Oregon. a) Chart the data. Discuss any apparent trend and seasonal patterns. b) Use the "Tahoe Salt" method with linear trend to forecast new constructions for the 12 months of 2021. c) Add your model values and forecast to the data chart. d) Compute the MAD of your model. e) Compute and plot the tracking signal in a new chart. f) Discuss the quality of this model. What is the flagrant flaw? g) Suggest an approach that would yield better results in terms of forecast values, MAD, and tracking signal. An appropriate narrative argument is sufficient (i.e., one or two sentences). You do not need to do calculations for this part.
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None
Exponential Smoothing, Exponentially Smoothed MAD, and Tracking SignalThe XYZ Company was flooded by a thunderstorm and lost part of its forecasting data.Positions in the table that are marked [a], [b], [c], [d], [e], and [ f ] must be recalculated from the remaining data.

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