Ms. Kathleen Boyd, director of logistics for the Scenic Calendar Company, wishes to evaluate two methods of...

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Finance

Ms. Kathleen Boyd, director of logistics for the Scenic CalendarCompany, wishes to evaluate

two methods of time series forecasting. She has collectedquarterly calendar sales data from the

years 2003 and 2004.

2003 . 2004

Qtr. Actual Sales Qtr. Actual Sales

1 1200 1 1300

2 800 2 800

3 200 3 250

4 1000 4 1200

a.Use the moving averages technique to find forecasted sales forthe third quarter of 2009 based on actual sales from the previousthree quarters. (0,5p)

b. Use simple exponential smoothing to forecast each quarter’ssales in 2009, given that Mr. Clayton qualitatively forecasted 800calendars for quarter 4, 2008. Mr. Clayton has assigned an alphafactor of 0,1 for time series sensitivity. (0,5p)

c. Repeat the simple exponential smoothing problem above (part5b) with Mr Clayton employing an alpha factor of 0,8. (0,5p)

d. How well does the moving averages and simple exponentialsmoothing techniques seem to work in Mr. Clayton’s situation? Inwhat ways do the techniques appear to fail? Explain. (0,5p)

Answer & Explanation Solved by verified expert
3.6 Ratings (269 Votes)

a. If Growth of Sales Remains Constant then

Average=Sum of All Quaters/4

2003 2004 2005 2006 2007 2008 2009
Quarter 1 1200 1,300 1,400 1500 1600 1700 1800
Quarter 2 800 800 800 800 800 800 800
Quarter 3 200 250 300 350 400 450 1350
Quarter 4 1,000 1,200 1,400 1,600 1,800 2,000 2,200
Average 800 888 975 1062.5 1,150 1,238 1,325

Sales of 3rd Quater of 2009

(1800+2000)/2=1900

(1900+800)/2=1350.

b.St=axt-1+(1-a)t-1

Alpha is 0

=800(0)+1-0

=1

or

Alpha Is 1

800(1)+1-1

=800

If Alpha is 0.8

=800(0.8)+1-0.8

=640.2

d. Exponential Smoothing Is Inaccurate in Claytons Situations as based on constant growth across all quaters and years is 500 for 3rd Quater of 2009.and Exponential Smoothing provides figures of 1,800,640.2.Moving Average Shows A Value of 1350 instead of 500.

Moving Average and Exponential Smoothing Fail in the following Situations-

a.Exponential Smoothing Fails if Alpha Is Close to 0.

b.Moving Average Doesn't Take into Account Seasonal variations,


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