Consider the following LP. (a) Put the problem into standard form, using slack, excess, and artificial variables. (b) Formulate the Phase I of the Two-Phase Method. (c) Solve the Phase I.

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## Linear Programming Problem

### Problem Statement
Consider the following linear programming problem:

**Objective:**
Minimize \( z = 4x_1 + x_2 \)

**Subject to Constraints:**
1. \( 3x_1 + x_2 = 3 \)
2. \( 4x_1 + 3x_2 \geq 6 \)
3. \( x_1 + x_2 \leq 4 \)
4. \( x_1, x_2 \geq 0 \)

### Tasks
(a) Convert the problem into standard form using slack, excess, and artificial variables.

(b) Formulate the Phase I of the Two-Phase Method.

(c) Solve Phase I.

(d) Determine if the problem is feasible and explain your answer.

(e) If the problem is feasible, proceed to Phase II and solve the problem.

Note: To transform the constraints into standard form:
- Use slack variables to convert inequalities into equalities where necessary.
- Utilize excess variables for \(\geq\) constraints.
- Introduce artificial variables to handle the equations where slack is not applicable for initialization in the Two-Phase Method.
Transcribed Image Text:## Linear Programming Problem ### Problem Statement Consider the following linear programming problem: **Objective:** Minimize \( z = 4x_1 + x_2 \) **Subject to Constraints:** 1. \( 3x_1 + x_2 = 3 \) 2. \( 4x_1 + 3x_2 \geq 6 \) 3. \( x_1 + x_2 \leq 4 \) 4. \( x_1, x_2 \geq 0 \) ### Tasks (a) Convert the problem into standard form using slack, excess, and artificial variables. (b) Formulate the Phase I of the Two-Phase Method. (c) Solve Phase I. (d) Determine if the problem is feasible and explain your answer. (e) If the problem is feasible, proceed to Phase II and solve the problem. Note: To transform the constraints into standard form: - Use slack variables to convert inequalities into equalities where necessary. - Utilize excess variables for \(\geq\) constraints. - Introduce artificial variables to handle the equations where slack is not applicable for initialization in the Two-Phase Method.
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Conceptual Introduction:- 

Linear programming is a mathematical technique that is also used in operations management departments. This technique is commonly used to find the best outcome with the maximum profit. Linear programming has various methods; each method is chosen by the companies as per their requirements or based on different factors.

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