Question

In: Statistics and Probability

Consider the following linear program, which maximizes daily total profit for two products, regular (R), and...

Consider the following linear program, which maximizes daily total profit for two products, regular (R), and super (S):

MAX Z = 50R + 75S

s.t.

1.2R + 1.6 S ≤ 600 assembly (hours)

0.8R + 0.5 S ≤ 300 paint (hours)

.16R + 0.4 S ≤ 100 inspection (hours)

R, S ≥ 0

Implement the LP problem in a spreadsheet model and invoke Solver to obtain the optimal solution. Use label and formatting to enhance readability of model and Solver reports.

  1. Create spreadsheet model

<Paste screenshot of spreadsheet model>

  1. Invoke Solver to find optimal solution

<Paste screenshot of Answer Report>

            <Paste screenshot of Sensitivity Report>

  1. What is the optimal solution?
  2. What is the maximum daily profit?
  3. What resources are binding at optimality?

Solutions

Expert Solution

Solution :

for simplicity here we take R =x1 and S = x2

therefore maximum daily profit is 24583.3333

Thank You..!!


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