Product Family Forecast Use the family forecast to revise the individual item forecasts (in both dollars & units) Roll Up Forecast Forecast Family Product Unit Forecast Unit Dollars/ Dollar Forecast A 1 B C Total Roll Down Dollar Forecast Unit Forecast Verify Rolled-Up Family $ Product Family 1 50,000 2 50,000 3 75,000 75,000 $ 50,000.00 Total 250,000 2 E Note: Forecasts are all monthly F Total $ 50,000.00 G 3 H Problem 16: The Gonzales Electric Company's 12 products are further grouped into four product families. Products A, B, and C compose family I; D, E, and F compose family 2; G, H, and I compose family 3; and products J, K, and L make up family 4. Dick Gonzales has the following exponential smoothing forecasts of monthly demand for each product. Family Product Forecast S/Unit Family Forecast Product S/Unit 1 10 1,000 3 G 100 250 15 1,200 H 180 100 C 20 900 I 220 100 2 S 5,000 4 10,000 E 3 7,000 K 4 9,000 F 2 9,000 L 3 8,000 Gonzales's sales force has also come up with the monthly forecasts of sales for each product family. Total $ 75,000.00 Family $ Sales 1 50,000 2 50,000 4 L Total $ 75,000.00 3 75,000 75,000 Roll up the individual product forecasts and compare them with the family data. Use the family forecasts to revise the individual forecasts (both dollars & units).
Product Family Forecast Use the family forecast to revise the individual item forecasts (in both dollars & units) Roll Up Forecast Forecast Family Product Unit Forecast Unit Dollars/ Dollar Forecast A 1 B C Total Roll Down Dollar Forecast Unit Forecast Verify Rolled-Up Family $ Product Family 1 50,000 2 50,000 3 75,000 75,000 $ 50,000.00 Total 250,000 2 E Note: Forecasts are all monthly F Total $ 50,000.00 G 3 H Problem 16: The Gonzales Electric Company's 12 products are further grouped into four product families. Products A, B, and C compose family I; D, E, and F compose family 2; G, H, and I compose family 3; and products J, K, and L make up family 4. Dick Gonzales has the following exponential smoothing forecasts of monthly demand for each product. Family Product Forecast S/Unit Family Forecast Product S/Unit 1 10 1,000 3 G 100 250 15 1,200 H 180 100 C 20 900 I 220 100 2 S 5,000 4 10,000 E 3 7,000 K 4 9,000 F 2 9,000 L 3 8,000 Gonzales's sales force has also come up with the monthly forecasts of sales for each product family. Total $ 75,000.00 Family $ Sales 1 50,000 2 50,000 4 L Total $ 75,000.00 3 75,000 75,000 Roll up the individual product forecasts and compare them with the family data. Use the family forecasts to revise the individual forecasts (both dollars & units).
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
Related questions
Question
Problem 16A: ROLLED DOWN unit
Transcribed Image Text:Product Family Forecast
Use the family forecast to revise the individual item forecasts (in both dollars & units)
Roll Up
Forecast Forecast Family Product
Unit
Forecast Unit
Dollars/
Dollar
Forecast
A
1
B
C
Total
Roll Down
Dollar
Forecast
Unit
Forecast Verify
Rolled-Up
Family $
Product
Family
1
50,000
2
50,000
3
75,000
75,000
$ 50,000.00
Total
250,000
2
E
Note: Forecasts are all monthly
F
Total
$ 50,000.00
G
3
H
Problem 16: The Gonzales Electric Company's 12 products are further grouped into four product families.
Products A, B, and C compose family I; D, E, and F compose family 2; G, H, and I compose family 3; and
products J, K, and L make up family 4. Dick Gonzales has the following exponential smoothing forecasts of
monthly demand for each product.
Family Product
Forecast
S/Unit
Family
Forecast
Product
S/Unit
1
10
1,000
3
G
100
250
15
1,200
H
180
100
C
20
900
I
220
100
2
S
5,000
4
10,000
E
3
7,000
K
4
9,000
F
2
9,000
L
3
8,000
Gonzales's sales force has also come up with the monthly forecasts of sales for each product family.
Total
$ 75,000.00
Family
$ Sales
1
50,000
2
50,000
4
L
Total
$ 75,000.00
3
75,000
75,000
Roll up the individual product forecasts and compare them with the family data. Use the family forecasts to
revise the individual forecasts (both dollars & units).
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