FINANCIAL ACCOUNTING
FINANCIAL ACCOUNTING
10th Edition
ISBN: 9781259964947
Author: Libby
Publisher: MCG
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Scenario 2: Pete wants each product line in the mix to be profitable. Use a One Variable Data Table to determine the
number of units for each product that should be produced (to the nearest thousand) to make each product line profitable.
Operating
Income (Loss)
SCENARIO 2
Product A
Product B
Product C
Units
?
?
?
Based on your calculations above, which scenario creates the highest overall Operating Income for the company?
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Transcribed Image Text:Scenario 2: Pete wants each product line in the mix to be profitable. Use a One Variable Data Table to determine the number of units for each product that should be produced (to the nearest thousand) to make each product line profitable. Operating Income (Loss) SCENARIO 2 Product A Product B Product C Units ? ? ? Based on your calculations above, which scenario creates the highest overall Operating Income for the company?
Hello Company makes three different products. Due to the constraints of their manufacturing equipment and warehouse facility, the
company is only able to produce, store, and sell a total of 50,000 units each month. The production of Products A and B varies each month;
however, Product C is a special order for one customer who purchases the same number of units every month. Pete Davila, the CEO, has
|provided the following data from last month for each product.
Income Statement
Product A
Product B
Product C
Мax Cарacity
5,000
8.00 $
2.00 $
Units
43,000
10.00 $
3.00 $
20,000 $
2,000
50,000
Price per unit
Variable expense per unit
$
$
$
50.00
15.00 $
20.00
Total Fixed Costs
40,000 $
10,000
Product Sales
$
430,000 $
40,000 $
100,000 $
570,000
(169,000)
401,000
(70,000)
331,000
Variable Costs
(129,000)
(10,000)
30,000 $
(30,000)
70,000 $
Contribution Margin
$
301,000 $
Fixed Costs
(20,000)
281,000
(40,000)
(10,000)
(10,000)
60,000 $
Operating income (loss)
Required
Using the Data Table What-If Analysis tool in Excel, determine the Units and Operating Income (Loss) for each product based
on the following scenarios. (Hint: Don't forget that the warehouse can only hold up to 50,000 units.)
Scenario 1: Pete wants to find the mix of units that will result in the highest overall Operating Income, perform this analysis
using a two-variable data table. Product A can vary between 40,000 units and a maximum of 45,000 units.
Product B can vary between 3,000 units and a maximum of 8,000 units. Both Products A and B are manufactured in
1,000-unit increments. The production level of Product C is the same each month at 2,000 units.
SCENARIO 1
Product A
Product B
Product C
Operating
Income (Loss)
331,000
43,000
43,000
Units
43,000 $
5,000 $
2,000 $
50,000 $
43,000
%24
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Transcribed Image Text:Hello Company makes three different products. Due to the constraints of their manufacturing equipment and warehouse facility, the company is only able to produce, store, and sell a total of 50,000 units each month. The production of Products A and B varies each month; however, Product C is a special order for one customer who purchases the same number of units every month. Pete Davila, the CEO, has |provided the following data from last month for each product. Income Statement Product A Product B Product C Мax Cарacity 5,000 8.00 $ 2.00 $ Units 43,000 10.00 $ 3.00 $ 20,000 $ 2,000 50,000 Price per unit Variable expense per unit $ $ $ 50.00 15.00 $ 20.00 Total Fixed Costs 40,000 $ 10,000 Product Sales $ 430,000 $ 40,000 $ 100,000 $ 570,000 (169,000) 401,000 (70,000) 331,000 Variable Costs (129,000) (10,000) 30,000 $ (30,000) 70,000 $ Contribution Margin $ 301,000 $ Fixed Costs (20,000) 281,000 (40,000) (10,000) (10,000) 60,000 $ Operating income (loss) Required Using the Data Table What-If Analysis tool in Excel, determine the Units and Operating Income (Loss) for each product based on the following scenarios. (Hint: Don't forget that the warehouse can only hold up to 50,000 units.) Scenario 1: Pete wants to find the mix of units that will result in the highest overall Operating Income, perform this analysis using a two-variable data table. Product A can vary between 40,000 units and a maximum of 45,000 units. Product B can vary between 3,000 units and a maximum of 8,000 units. Both Products A and B are manufactured in 1,000-unit increments. The production level of Product C is the same each month at 2,000 units. SCENARIO 1 Product A Product B Product C Operating Income (Loss) 331,000 43,000 43,000 Units 43,000 $ 5,000 $ 2,000 $ 50,000 $ 43,000 %24
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