1.7. Zuke service company assembles customized desktop computers from generic parts. It has steady growth in the market. The company purchase generic parts in volume from various sources whenever they see a good sales. The company need to know how many parts to purchase and stock. The fast data of last 12 months reported as below table. Demand 37 Demand 43 Month January February March Month July August September October 40 47 41 56 April Мay June 37 52 45 November 55 50 December 54 Use exponential smoothing with smoothing constant = 0.3 to compute the demand forecast for January month of next year. Use trend-corrected exponential smoothing with smoothing constant =0.3 and trend parameter = 0.2 to compute the demand forecast for January month of next year. Compare these methods and conclude.
1.7. Zuke service company assembles customized desktop computers from generic parts. It has steady growth in the market. The company purchase generic parts in volume from various sources whenever they see a good sales. The company need to know how many parts to purchase and stock. The fast data of last 12 months reported as below table. Demand 37 Demand 43 Month January February March Month July August September October 40 47 41 56 April Мay June 37 52 45 November 55 50 December 54 Use exponential smoothing with smoothing constant = 0.3 to compute the demand forecast for January month of next year. Use trend-corrected exponential smoothing with smoothing constant =0.3 and trend parameter = 0.2 to compute the demand forecast for January month of next year. Compare these methods and conclude.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:1.7. Zuke service company assembles customized desktop computers from generic parts. It has
steady growth in the market. The company purchase generic parts in volume from various
sources whenever they see a good sales. The company need to know how many parts to
purchase and stock. The fast data of last 12 months reported as below table.
Month
January
Demand
37
Demand
43
Month
July
February
March
40
August
September
47
41
56
Аpril
May
37
October
52
55
54
45
November
June
50
December
Use exponential smoothing with smoothing constant = 0.3 to compute the demand forecast
for January month of next year. Use trend-corrected exponential smoothing with smoothing
constant =0.3 and trend parameter = 0.2 to compute the demand forecast for January month
of next year. Compare these methods and conclude.
Solve theoritically not in excel Please.
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