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.
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.
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
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
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.
Expert Solution
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Step 1 Introduction:-
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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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