The manager of the Petroco Service Station wants to forecast the demand gasoline next month so that the proper number of gallons can be ordered from the distributor. The owner has accumulated the following data on demand for unleaded gasoline from sales during the past 10 months. Compute an exponentially smoothed forecast with an a value of .30. According to the result from Excel and/or POM-QM, the forecast for the month of January would be (type number only, two decimals) Month October November December January February March April May June July 733.25 Gasoline Demanded (gal.) 800 725 630 500 645 690 730 810 1,200 980

Practical Management Science
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ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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Question 8
The manager of the Petroco Service Station wants to forecast the demand fo
gasoline next month so that the proper number of gallons can be ordered
from the distributor. The owner has accumulated the following data on
demand for unleaded gasoline from sales during the past 10 months.
Compute an exponentially smoothed forecast with an a value of .30.
According to the result from Excel and/or POM-QM, the forecast for the
month of January would be (type number only, two decimals)
Month
October
November
December
January
February
March
April
May
June
July
733.25
Gasoline Demanded (gal.)
800
725
630
500
645
690
730
810
1,200
980
Transcribed Image Text:Question 8 The manager of the Petroco Service Station wants to forecast the demand fo gasoline next month so that the proper number of gallons can be ordered from the distributor. The owner has accumulated the following data on demand for unleaded gasoline from sales during the past 10 months. Compute an exponentially smoothed forecast with an a value of .30. According to the result from Excel and/or POM-QM, the forecast for the month of January would be (type number only, two decimals) Month October November December January February March April May June July 733.25 Gasoline Demanded (gal.) 800 725 630 500 645 690 730 810 1,200 980
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