Question

Consider the following LP problem developed at Zafar Malik’s Carbondale, Illinois, optical scanning firm: Maximize profit:...

Consider the following LP problem developed at Zafar Malik’s Carbondale, Illinois, optical scanning firm:

Maximize profit: = $1x1 + $1x2

Subject to: $2x1 + $1x2 ≤ 100

$1x1 + $2x2 ≤ 100

a. What is the optimal solution to this problem?

b. If a technical breakthrough occurred that raised the profit per unit of X1 to $3, would this affect the optimal solution?

c. Instead of an increase in the profit coefficient X1 to $3, suppose that profit was overestimated and should only have been $1.25. Does this change the original optimal solution?

d. Based on your answer to c., are there any unused resources?

e. Based on your answer to c. (at $1.25 for variable x1), how much would profit increase in constraint # 2 if 75 was added to the RHS?   

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Answer #1

We solve the given problem in Excel using Excel Solver as shown below:

Variables x1 x2 33.3333 33.3333 Objective p $ 66.67 Constraints Condition 100 2 100 <= 100 100

The above table in the form of formulas is shown below for better understanding and reference:

B C D A 1 Variables 2 x1 3 x2 Solver Parameters 33.3333333333333 33.3333333333333 mtoto Set Objective: SBS6 To: Max =1*B2+1*B

As seen from above, the optimal solution is x1 = 33.33 & x2 = 33.33

b. We will re-solve the problem with revised values as shown below:

Variables x150 x2 0 Objective p U $ 150.00 Constraints 1 2 100 50 Condition <= <= 100 100

Hence, the optimal solution will change as shown above, x1 = 50, x2 = 0, Total profit = $150

c. We will re-solve the problem with revised values as shown below:

Variables x1 x2 33.33 33.33 Objective P $ 75.00 Constraints 1 2 100 100 Condition <= T <= 100 100

Hence, the optimal solution will change as shown above, x1 = 33.33, x2 = 33.33 will remain same, Total profit = $75

d. Based on the above solution, there are no unused constraints as seen above since LHS = RHS from both constraints.

e. We will re-solve the problem with revised values as shown below:

Variables x1 X2 8.33 83.33 Objective p $ 93.75 Constraints 1 Condition <= 100 100 175 175

Increase in profit between part c and part e = 93.75 - 75 = $18.75

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