Forecasting, quantitative methods, exponential smoothing calculation. After 6 months of production, the company has been able to post the mid-year sales figures presented in the table below. Using the exponential smoothing factor α= 0.40, forecast the sales in July. Assume the January forecast sales as equal to the actual sales of January. Show all workings. a. After 6 months of production, the company has been able to post the mid-year sales figures presented in the table below.
Forecasting, quantitative methods, exponential smoothing calculation. After 6 months of production, the company has been able to post the mid-year sales figures presented in the table below. Using the exponential smoothing factor α= 0.40, forecast the sales in July. Assume the January forecast sales as equal to the actual sales of January. Show all workings. a. After 6 months of production, the company has been able to post the mid-year sales figures presented in the table below.
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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Forecasting, quantitative methods, exponential smoothing calculation.
After 6 months of production, the company has been able to post the mid-year sales
figures presented in the table below. Using the exponential smoothing factor α= 0.40,
forecast the sales in July. Assume the January forecast sales as equal to the actual sales of January. Show all workings.
a. After 6 months of production, the company has been able to post the mid-year sales figures presented in the table below.
Transcribed Image Text:a. After 6 months of production, the company has been able to post the mid-year sales
figures presented in the table below. Using the exponential smoothing factor a= 0.40,
forecast the sales in July. Assume the January forecast sales as equal to the actual sales of
January. Show all workings.
Month
Jan
Feb
March
April
May
June
Sales (S)
4220
4278
5460
5275
4950
5315
Weight
0.05
0.05
0.08
0.1
0.2
0.3
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