Question

Use the following Management Scientist output to answer the questions. LINEAR PROGRAMMING PROBLEM MAX 31X1+35X2+32X3 S.T....

Use the following Management Scientist output to answer the questions.

LINEAR PROGRAMMING PROBLEM

MAX 31X1+35X2+32X3

S.T.

  1. 3X1+5X2+2X3>90
  1. 6X1+7X2+8X3<150
  1. 5X1+3X2+3X3<120

OPTIMAL SOLUTION

Objective Function Value = 763.333

Variable

Value

Reduced Cost

X1

13.333

0.000

X2

10.000

0.000

X3

0.000

10.889

Constraint

Slack/Surplus

Dual Price

1

0.000

  • 0.778

2

0.000

5.556

3

23.333

0.000

OBJECTIVE COEFFICIENT RANGES

Variable

Lower Limit

Current Value

Upper Limit

X1

30.000

31.000

No Upper Limit

X2

No Lower Limit

35.000

36.167

X3

No Lower Limit

32.000

42.889

RIGHT HAND SIDE RANGES

Constraint

Lower Limit

Current Value

Upper Limit

1

77.647

90.000

107.143

2

126.000

150.000

163.125

3

96.667

120.000

No Upper Limit

a.

Give the solution to the problem.

b.

Which constraints are binding?

c.

What would happen if the coefficient of x1 increased by 3?

d.

What would happen if the right-hand side of constraint 1 increased by 10?

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Answer #1

Ans a)

The solution to the problem is as follows

X1 = 13.333

X2 = 10

X3 = 0

The value of the objective function is 763.333

Ans b)

Constraints that have a non-zero dual price are known as binding constraints. Constraint 1 and constraint 2 have a non zero dual price. Hence they are binding constraints.

Ans c)

If the coefficient of X1 is increased by 3, there will be no change in the optimal solution. This is because the coefficient of X1 has an allowable increase of infinity. Thus any increase in the value of the coefficient of X1 would not result in the change of the optimal solution. The objective function value will increase as the coefficient increases.

Ans d)

If the right-hand side of constraint 1 increased by 10, its value will increase from 90 to 100. This lies within the upper limit for the right-hand side of constraint 1, which is 107.143

Hence there will be no change in the optimal solution as well as the objective function value.

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