Chapter 6. Solve the following Linear Program using the Solver method and answer the questions given below (round to two decimal places): Maximize 12A + 15B st. • 3A + 7B <= 250 • 5A + 2B <= 200 • B<= 25 • A, B >= 0 a. The optimal value of A is and the optimal value of B is b. The maximized function yields a solution of

Practical Management Science
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Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
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**Chapter 6: Solving a Linear Program Using the Solver Method**

In this exercise, you will solve a linear programming problem using the Solver method in Excel or another similar tool. Answer the questions below with results rounded to two decimal places.

**Objective:**

Maximize \(12A + 15B\)

**Subject to the constraints:**

- \(3A + 7B \leq 250\)
- \(5A + 2B \leq 200\)
- \(B \leq 25\)
- \(A, B \geq 0\)

**Questions:**

a. What are the optimal values for \(A\) and \(B\)?

b. What is the value of the maximized function?

---

In the setup above, you are tasked to evaluate the feasible region determined by the constraints and find the values of \(A\) and \(B\) that maximize the objective function \(12A + 15B\). Use Solver to compute these values and ensure your result aligns with the constraints and maximizes the output.
Transcribed Image Text:**Chapter 6: Solving a Linear Program Using the Solver Method** In this exercise, you will solve a linear programming problem using the Solver method in Excel or another similar tool. Answer the questions below with results rounded to two decimal places. **Objective:** Maximize \(12A + 15B\) **Subject to the constraints:** - \(3A + 7B \leq 250\) - \(5A + 2B \leq 200\) - \(B \leq 25\) - \(A, B \geq 0\) **Questions:** a. What are the optimal values for \(A\) and \(B\)? b. What is the value of the maximized function? --- In the setup above, you are tasked to evaluate the feasible region determined by the constraints and find the values of \(A\) and \(B\) that maximize the objective function \(12A + 15B\). Use Solver to compute these values and ensure your result aligns with the constraints and maximizes the output.
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