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Solve each linear programming problem by the simplex method. $$ \begin{array}{ll} \text { Maximize } & P=4 x+6 y \\ \text { subject to } & 3 x+y \leq 24 \\ & 2 x+y \leq 18 \\ & x+3 y \leq 24 \\ & x \geq 0, y \geq 0 \end{array} $$

Short Answer

Expert verified
The optimal solution for this linear programming problem is found using the simplex method. After setting up the initial simplex tableau and performing the necessary iterations, the optimal solution is \(x = 6\), \(y = 6\), with a maximum value of the objective function \(P = 60\).

Step by step solution

01

Write the constraints as linear equations

First, write down the given constraints as linear equations with non-negative slack variables: $$ \begin{array}{ll} 3x + y + s_1 = 24 \\ 2x + y + s_2 = 18 \\ x + 3y + s_3 = 24 \\ \end{array} $$ where \(s_1,s_2,s_3 \geq 0\). Now add the objective function, initially setting P = 0 and the objective function coefficients as negative: $$ \begin{array}{ll} P - 4x - 6y = 0 \end{array} $$
02

Set up the initial simplex tableau

Create the initial simplex tableau by placing the coefficients of the variables x, y, the slack variables, and the objective function in a matrix form: $$ \begin{array}{ccccccc|c} P & x & y & s_1 & s_2 & s_3 & & \\ \hline 1 &-4 &-6 & 0 & 0 & 0 & = & 0 \\ 0 & 3 & 1 & 1 & 0 & 0 & = & 24 \\ 0 & 2 & 1 & 0 & 1 & 0 & = & 18 \\ 0 & 1 & 3 & 0 & 0 & 1 & = & 24 \end{array} $$
03

Perform the simplex method iterations

Identify the pivot column by looking at the most negative coefficient in the objective function row (P row). The pivot column is 'y' (column 3), because the most negative value is -6. Next, find the pivot row by dividing each right-hand side value by its corresponding pivot column entry (must be positive) and select the lowest ratio. In this case, the pivot row is the third row because the lowest ratio is 18. Now we perform the pivot operation by making the pivot element (1) equal to 1 and the other elements in the pivot column to be zero. New tableau after pivot: $$ \begin{array}{ccccccc|c} P & x & y & s_1 & s_2 & s_3 & & \\ \hline 1 & 2 & 0 & 0 & 6 & 0 & = & 108 \\ 0 & 1 & 0 & 1/3 & -1/3 & 0 & = & 6 \\ 0 & 0 & 1 & -2/3 & 1/3 & 0 & = & 6 \\ 0 & 1 & 0 & 1/3 & -1 & 1 & = & 18 \end{array} $$ There are no more negative coefficients in the objective function row, so the solution is optimal.
04

Determine the optimal solution and objective function value

In the final tableau, we can determine the optimal solution by finding the basic variables, which are indicated by identity matrix columns: Optimal solution: \(x = 6, y = 6\) Objective function value: \(P = 4(6) + 6(6) = 24 + 36 = 60\) Thus, the optimal solution for this linear programming problem is \(x = 6\), \(y = 6\), and the maximum value of \(P = 60\).

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Most popular questions from this chapter

\(\begin{array}{l}\text { } & \text { } & \text { }\end{array}\) Pharmaceutical produces three kinds of cold formulas: I. II, and III. It takes \(2.5 \mathrm{hr}\) to produce 1000 bottles of formula I, \(3 \mathrm{hr}\) to produce 1000 bottles of formula II, and \(4 \mathrm{hr}\) to produce 1000 bottles of formula III. The profits for each 1000 bottles of formula I, formula II, and formula III are \(\$ 180, \$ 200\), and \(\$ 300\), respectively. Suppose, for a certain production run, there are enough ingredients on hand to make at most 9000 bottles of formula I, 12,000 bottles of formula II, and 6000 bottles of formula III. Furthermore, suppose the time for the production run is limited to a maximum of \(70 \mathrm{hr}\). How many bottles of each formula should be produced in this production run so that the profit is maximized? What is the maximum profit realizable by the company? Are there any resources left over?

Use the method of this section to solve each linear programming problem. $$ \begin{aligned} \text { Maximize } & P=2 x+y+z \\ \text { subject to } & x+2 y+3 z \leq 28 \\ & 2 x+3 y-z \leq 6 \\ & x-2 y+z \geq 4 \\ & x \geq 0, y \geq 0, z \geq 0 \end{aligned} $$

Determine whether the given simplex tableau is in final form. If so, find the solution to the associated regular linear programming problem. If not, find the pivot element to be used in the next iteration of the simplex method. $$ \begin{array}{cccccc|c} x & y & z & u & v & P & \text { Constant } \\ \hline 1 & 0 & \frac{3}{5} & 0 & \frac{1}{5} & 0 & 30 \\ 0 & 1 & -\frac{19}{5} & 1 & -\frac{3}{5} & 0 & 10 \\ \hline 0 & 0 & \frac{26}{5} & 0 & 0 & 1 & 60 \end{array} $$

The owner of the Health JuiceBar wishes to prepare a low-calorie fruit juice with a high vitamin A and vitamin C content by blending orange juice and pink grapefruit juice. Each glass of the blended juice is to contain at least 1200 International Units (IU) of vitamin A and \(200 \mathrm{IU}\) of vitamin \(\mathrm{C}\). One ounce of orange juice contains \(60 \mathrm{IU}\) of vitamin A, \(16 \mathrm{IU}\) of vitamin \(\mathrm{C}\), and 14 calories; cach ounce of pink grapefruit juice contains \(120 \mathrm{IU}\) of vitamin A, 12 IU of vitamin \(C\). and 11 calories. How many ounces of each juice should a glass of the blend contain if it is to meet the minimum vitamin requirements while containing a minimum number of calories?

Use the method of this section to solve each linear programming problem. $$ \begin{array}{ll} \text { Minimize } & C=2 x-3 y+4 z \\ \text { subject to } & -x+2 y-z \leq 8 \\ & x-2 y+2 z \leq 10 \\ & 2 x+4 y-3 z \leq 12 \\ & x \geq 0, y \geq 0, z \geq 0 \end{array} $$

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