The tracking signals (TS) computed using past demand history for three different products are as follows. Each product used the same forecasting technique. Period (TS 1) (TS 2) (TS 3) Period 1 -2.70 1.54 0.10 Period 2 -2.32 -0.64 0.43 Period 3 -1.70 2.05 1.08 Period 4 -1.10 2.58 1.74 Period 5 -0.87 -0.95 1.94 Period 6 -0.05 -1.23 2.24 Period 7 0.10 0.75 2.96 Period 8 0.40 -1.59 3.02 Period 9 1.50 0.47 3.54 Period 10 2.20 2.74 3.75 Discuss the tracking signals for each and what the implications are.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter13: Regression And Forecasting Models
Section13.7: Exponential Smoothing Models
Problem 28P: The file P13_28.xlsx contains monthly retail sales of U.S. liquor stores. a. Is seasonality present...
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(2) The tracking signals (TS) computed using past demand history for three different
products are as follows. Each product used the same forecasting technique.
(TS 2)
Period
(TS 1)
(TS 3)
Period 1
-2.70
1.54
0.10
Period 2
-2.32
-0.64
0.43
Period 3
-1.70
2.05
1.08
Period 4
-1.10
2.58
1.74
Period 5
-0.87
-0.95
1.94
Period 6
-0.05
-1.23
2.24
Period 7
0.10
0.75
2.96
Period 8
0.40
-1.59
3.02
Period 9
1.50
0.47
3.54
Period 10
2.20
2.74
3.75
Discuss the tracking signals for each and what the implications are.
Transcribed Image Text:(2) The tracking signals (TS) computed using past demand history for three different products are as follows. Each product used the same forecasting technique. (TS 2) Period (TS 1) (TS 3) Period 1 -2.70 1.54 0.10 Period 2 -2.32 -0.64 0.43 Period 3 -1.70 2.05 1.08 Period 4 -1.10 2.58 1.74 Period 5 -0.87 -0.95 1.94 Period 6 -0.05 -1.23 2.24 Period 7 0.10 0.75 2.96 Period 8 0.40 -1.59 3.02 Period 9 1.50 0.47 3.54 Period 10 2.20 2.74 3.75 Discuss the tracking signals for each and what the implications are.
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