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9.3 THE SIMPLEX METHOD: MAXIMIZATION

9.3 THE SIMPLEX METHOD: MAXIMIZATION

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502 CHAPTER 9 LINEAR PROGRAMMING<br />

subject to the constraints<br />

4x 1 3x 2 3x 3 30<br />

2x 1 3x 2 3x 3 60<br />

2x 1 2x 2 3x 3 40<br />

where x1 0, x2 0, and x3 0.<br />

Solution Using the basic feasible solution<br />

x 1 , x 2 , x 3 , s 1 , s 2 , s 3 0, 0, 0, 30, 60, 40<br />

the initial simplex tableau for this problem is as follows. (Note that s1 is an artificial variable,<br />

rather than a slack variable.)<br />

Basic<br />

x1 x2 x3 s1 s2 s3 b Variables<br />

3<br />

4 1 1 1 0 0 30 s 1 ← Departing<br />

2 3 1 0 1 0 60 s 2<br />

1 2 3 0 0 1 40 s 3<br />

↑<br />

Entering<br />

2<br />

1<br />

0 0 0 0<br />

x1 x2 x3 s1 s2 s3 b<br />

Basic<br />

Variables<br />

1 0 0 x1 0 1 0 45 s2 ← Departing<br />

0 0 1 s3 0<br />

↑<br />

Entering<br />

<br />

3<br />

4 0 0<br />

45<br />

2<br />

1<br />

4<br />

5<br />

<br />

65<br />

2<br />

4<br />

1<br />

<br />

7<br />

4<br />

11<br />

4 4<br />

1<br />

1<br />

4<br />

1<br />

4<br />

1<br />

4<br />

15<br />

2<br />

5<br />

2<br />

1<br />

2 2<br />

Basic<br />

x 1 x 2 x 3 s 1 s 2 s 3 b Variables<br />

1<br />

1 0 0 3 x1 0 1 0 18 x2 0 0 1 1 s3 7<br />

<br />

2<br />

5<br />

12 1<br />

1<br />

5 10 10<br />

1<br />

5 5<br />

5<br />

0 0 0 2 2 0 45<br />

This implies that the optimal solution is<br />

10<br />

x 1 , x 2 , x 3 , s 1 , s 2 , s 3 3, 18, 0, 0, 0, 1<br />

3<br />

1<br />

1<br />

10<br />

1<br />

and the maximum value of z is 45. (This solution satisfies the equation given in the constraints<br />

because 43 118 10 30.

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