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.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
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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.
Transcribed Image Text: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.
b. A four-period moving average.
c. Exponential smoothing with .50. Use 20 for the
week 2 forecast.
3. Forecasts based on averages. Given the
following data:
Period
Number of
Complaints
1
70
2
75
3
65
4
68
74
Prepare a forecast for period 6 using each of
these approaches:
a. A weighted average using weights of .50 (most
recent), .30, and .20.
b. Exponential smoothing with a smoothing
constant of .40.
Transcribed Image Text:b. A four-period moving average. c. Exponential smoothing with .50. Use 20 for the week 2 forecast. 3. Forecasts based on averages. Given the following data: Period Number of Complaints 1 70 2 75 3 65 4 68 74 Prepare a forecast for period 6 using each of these approaches: a. A weighted average using weights of .50 (most recent), .30, and .20. b. Exponential smoothing with a smoothing constant of .40.
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