Math Problem Statement
Donna De Paul is raising money for the homeless. She discovers that each church group requires 2 hours of letter writing and 1 hour of follow-up, while for each labor union she needs 2 hours of letter writing and 3 hours of follow-up. Donna can raise $150 from each church group and $200 from each union local, and she has a maximum of 16 hours of letter writing and a maximum of 14 hours of follow-up available per month. Determine the most profitable mixture of groups she should contact and the most money she can raise in a month. Question content area bottom Part 1 Let x 1 be the number of church groups, and let x 2 be the number of labor unions. What is the objective function? zequals 150x 1plus 200x 2 (Do not include the $ symbol in your answers.) Part 2 She should contact enter your response here church group(s) and enter your response here labor union(s), to obtain a maximum of $ enter your response here in donations.
Solution
We can solve this problem using linear programming, where the goal is to maximize the amount Donna can raise given her time constraints.
Part 1: Objective Function
The amount of money Donna raises depends on the number of church groups and labor unions she contacts. From each church group, she raises $150, and from each labor union, she raises $200. So the objective function (which represents the total money raised) is:
This is the function Donna wants to maximize.
Part 2: Constraints
Donna has time constraints based on the hours available for letter writing and follow-up:
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Letter writing constraint: Each church group requires 2 hours, and each labor union requires 2 hours of letter writing. She has a maximum of 16 hours available for letter writing:
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Follow-up constraint: Each church group requires 1 hour, and each labor union requires 3 hours of follow-up. She has a maximum of 14 hours available for follow-up:
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Non-negativity constraint: Donna cannot contact a negative number of church groups or labor unions:
Solution
We now need to solve this linear programming problem by finding the values of and that maximize , subject to the constraints.
Let’s summarize the system of inequalities:
2x_1 + 2x_2 & \leq 16, \\ x_1 + 3x_2 & \leq 14, \\ x_1, x_2 & \geq 0. \end{aligned}$$ We can solve this graphically or by using the simplex method to find the optimal values of $$x_1$$ and $$x_2$$. Let's calculate the maximum values for $$x_1$$ and $$x_2$$. #### Solving the system From the first constraint: $$2x_1 + 2x_2 \leq 16 \quad \text{or} \quad x_1 + x_2 \leq 8.$$ This gives a simplified constraint. From the second constraint: $$x_1 + 3x_2 \leq 14.$$ Now we can solve this system. The optimal solution to maximize the amount of money Donna can raise is as follows: - She should contact **5 church groups** and **3 labor unions**. - The maximum amount of money she can raise in a month is: $$z = 150(5) + 200(3) = 750 + 600 = 1350$$ Thus, Donna can raise **$1350** in total. ### Key Summary: - Objective function: $$z = 150x_1 + 200x_2$$ - Maximum number of church groups to contact: 5 - Maximum number of labor unions to contact: 3 - Maximum total amount of money raised: $1350 Would you like a more detailed explanation of how these values were determined? --- Here are 5 related questions for further understanding: 1. How would the solution change if Donna had more hours available for follow-up? 2. What if Donna could raise more money from labor unions, say $250 per union? 3. How would the objective function change if Donna received a bonus for contacting both types of groups? 4. What if the number of hours available for letter writing and follow-up were reduced? 5. Could a different combination of groups raise more money if the constraints were relaxed? **Tip:** Linear programming is especially useful for optimizing resource allocation, like maximizing profit or minimizing cost, subject to constraints.Ask a new question for Free
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Math Problem Analysis
Mathematical Concepts
Linear Programming
Optimization
Inequalities
Formulas
Objective Function: z = 150x1 + 200x2
Constraints: 2x1 + 2x2 ≤ 16, x1 + 3x2 ≤ 14, x1 ≥ 0, x2 ≥ 0
Theorems
Simplex Method for Linear Programming
Feasible Region in Optimization
Suitable Grade Level
Grades 10-12
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