Finite Mathematics (11th Edition)
Finite Mathematics (11th Edition)
11th Edition
ISBN: 9780321979438
Author: Margaret L. Lial, Raymond N. Greenwell, Nathan P. Ritchey
Publisher: PEARSON
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Textbook Question
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Chapter 3, Problem 1EA

Use sensitivity analysis to find the optimal solution to the original 4-H problem, if the profit from raising a goat increases from $12 to $25.

Expert Solution & Answer
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To determine
The new optimal solution for the number of goats and the number of pigs raised by Lisa if the profit increases from $12 to $25 for one goat raised.

Answer to Problem 1EA

Solution: The new optimal solution is to raise 6 goats and 10 pigs.

Explanation of Solution

Given: The maximum number of animals raised at a time is 16. The maximum number of goats raised at a time is 10. The cost to raise one goat is $25, and the cost to raise one pig is $75. The maximum cost available to raise the animals is $900. The profit gained from one pig is $40. The profit increases from $12 to $25 for one goat raised.

Explanation:

The constraints as provided by the original problem are

x+y16

25x+75y900

x10

x0

y0

The original objective function is

z=12x+40y

The graph of the linear inequalities as provided by the original solution is

Finite Mathematics (11th Edition), Chapter 3, Problem 1EA

The optimal solution of the original problem is at the corner point (0,12).

Let the profit on one goat increase from $12 to $(12+c).

The new objective function is

z=(12+c)x+40yy=(12+c)40x+z40

The slope of the isoprofit lines for this objective function is (12+c)40.

The cost constraint inequality can be written as

25x+75y900x+3y36

The corresponding boundary line is

x+3y=36y=x3+12

The slope of this boundary line is 13.

The optimal solution changes from the corner point (0,12) to (6,10) when the slope of the isoprofit lines becomes less than the slope of the cost constraint boundary line and stays the same until the slope of the next boundary line:

x+y=16y=x+16

The slope of this constraint line is −1.

Thus, the optimal solution changes from (0,12) to (6,10) when:

1(12+c)401312036+3c40843c428c43

The profit on one goat increases from $12 to $25.

12+c=25c=13

Since c lies in the range 28c43, the optimal solution changes to the corner point (6,10).

Conclusion: When the profit on one goat raised is increased from $12 to $25, the slope of the isoprofit lines changes such that the optimal solution changes from 0 goats and 12 pigs raised to the next intersection point of the provided constraints, which is 6 goats and 10 pigs raised because the profit margin increased on one goat raised makes it profitable to raise goats also.

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Chapter 3 Solutions

Finite Mathematics (11th Edition)

Ch. 3.1 - Graph each linear inequality. x 3yCh. 3.1 - Graph each linear inequality. 2x yCh. 3.1 - Graph each linear inequality. x + y 0Ch. 3.1 - Graph each linear inequality. 3x + 2y 0Ch. 3.1 - Graph each linear inequality. y xCh. 3.1 - Graph each linear inequality. y 5xCh. 3.1 - Graph each linear inequality. x 4Ch. 3.1 - Graph each linear inequality. y 5Ch. 3.1 - Graph each linear inequality. y 2Ch. 3.1 - Graph each linear inequality. x 4Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Graph the feasible region for each system of...Ch. 3.1 - Prob. 35ECh. 3.1 - Prob. 36ECh. 3.1 - Prob. 37ECh. 3.1 - Prob. 38ECh. 3.1 - The regions A through G in the figure can be...Ch. 3.1 - Production Scheduling A small pottery shop makes...Ch. 3.1 - Time Management Carmella and Walt produce handmade...Ch. 3.1 - Prob. 42ECh. 3.1 - Prob. 43ECh. 3.1 - Prob. 44ECh. 3.1 - For Exercises 42-47, perform the following steps....Ch. 3.1 - Prob. 46ECh. 3.1 - Prob. 47ECh. 3.2 - The following graphs show regions of feasible...Ch. 3.2 - The following graphs show regions of feasible...Ch. 3.2 - The following graphs show regions of feasible...Ch. 3.2 - The following graphs show regions of feasible...Ch. 3.2 - The following graphs show regions of feasible...Ch. 3.2 - Prob. 6ECh. 3.2 - Prob. 7ECh. 3.2 - Use graphical methods to solve each linear...Ch. 3.2 - Prob. 9ECh. 3.2 - Use graphical methods to solve each linear...Ch. 3.2 - Prob. 11ECh. 3.2 - Prob. 12ECh. 3.2 - Prob. 13ECh. 3.2 - Prob. 14ECh. 3.2 - Prob. 15ECh. 3.2 - Use graphical methods to solve each linear...Ch. 3.2 - Use graphical methods to solve each linear...Ch. 3.3 - Write Exercises 16 as linear inequalities....Ch. 3.3 - Prob. 2ECh. 3.3 - Prob. 3ECh. 3.3 - Prob. 4ECh. 3.3 - Prob. 5ECh. 3.3 - Prob. 6ECh. 3.3 - Transportation The Miers Company produces small...Ch. 3.3 - Transportation A manufacturer of refrigerators...Ch. 3.3 - Finance A pension fund manager decides to invest a...Ch. 3.3 - Profit A small country can grow only two crops for...Ch. 3.3 - Prob. 11ECh. 3.3 - Revenue A candy company has 150 kg of...Ch. 3.3 - Blending The Mostpure Milk Company gets milk from...Ch. 3.3 - Profit The Muro Manufacturing Company makes two...Ch. 3.3 - Prob. 15ECh. 3.3 - Revenue The manufacturing process requires that...Ch. 3.3 - Prob. 17ECh. 3.3 - Manufacturing (Note: Exercises #x2013;20 are from...Ch. 3.3 - Prob. 19ECh. 3.3 - Prob. 20ECh. 3.3 - Life Sciences Health Care David Willis takes...Ch. 3.3 - Prob. 22ECh. 3.3 - Nutrition A dietician is planning a snack package...Ch. 3.3 - Prob. 24ECh. 3.3 - Anthropology An anthropology article presents a...Ch. 3.3 - Prob. 26ECh. 3.3 - Prob. 27ECh. 3 - Use sensitivity analysis to find the optimal...Ch. 3 - Prob. 2EACh. 3 - Prob. 3EACh. 3 - Prob. 4EACh. 3 - Prob. 5EACh. 3 - Prob. 1RECh. 3 - Prob. 2RECh. 3 - Prob. 3RECh. 3 - Prob. 4RECh. 3 - Prob. 5RECh. 3 - Prob. 6RECh. 3 - Prob. 7RECh. 3 - Prob. 8RECh. 3 - Prob. 9RECh. 3 - Prob. 10RECh. 3 - Prob. 11RECh. 3 - Prob. 12RECh. 3 - Prob. 13RECh. 3 - How many constraints are we limited to in the...Ch. 3 - Prob. 15RECh. 3 - Prob. 16RECh. 3 - Prob. 17RECh. 3 - Prob. 18RECh. 3 - Prob. 19RECh. 3 - Prob. 20RECh. 3 - Prob. 21RECh. 3 - Prob. 22RECh. 3 - Prob. 23RECh. 3 - Prob. 24RECh. 3 - Prob. 25RECh. 3 - Prob. 26RECh. 3 - Prob. 27RECh. 3 - Use the given regions to find the maximum and...Ch. 3 - Prob. 29RECh. 3 - Prob. 30RECh. 3 - Prob. 31RECh. 3 - Prob. 32RECh. 3 - Prob. 33RECh. 3 - Prob. 34RECh. 3 - Prob. 35RECh. 3 - Prob. 36RECh. 3 - Prob. 37RECh. 3 - Cost Analysis DeMarco's pizza shop makes two...Ch. 3 - Prob. 39RECh. 3 - Revenue How many pizzas of each kind should the...Ch. 3 - Prob. 41RECh. 3 - Prob. 42RECh. 3 - Steel A steel company produces two types of...Ch. 3 - Prob. 44RECh. 3 - Prob. 45RECh. 3 - Prob. 46RE
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