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Discuss a few areas for application of quantitative analysis in your organization or organization you are familiar with for decision making.


Q4. Discuss a few areas for application of quantitative analysis in your organisation or


organisation you are familiar with for decision making.

The Norton Fabrication Company makes 3 products; profit per unit for each is as follows:

        P1: P2

        P2: P4

        P3: P3

   Each of these products passes through three manufacturing centers as a part of the production process. Time required in each center to produce one unit of each of the three products is as follows:

                                               Hours per unit

        Product        Center 1               Center 2               Center 3

        P1                   3                             2                             1

        P2                   4                             1                             3

        P3                   2                             2                             2

       Each of the three centers has time available for next week as follows:

       Center 1: 60 hours

       Center 2: 40 hours

       Center 3: 80 hours


      Determine the optimum product mix for next week’s production schedule. Use simplex linear programming.


Company C is planning to undertake another project requiring initial investment



of P50 million and is expected to generate P10 million net cash flow in Year 1,



$13 million in Year 2, P16 million in year 3, P19 million in Year 4 and P22 million



in Year 5. Calculate the payback value of the project.

A large group of students took a test in physics and have a mean of 70 and a standard deviation of 10.If we approximate the distribution of these grades by a normal distribution, what percentage of the students


a) scored higher than 80?


b) should pass the test(grades>=60)?


c) should fail the test(grades<60)?

4x1+2x2=40

2x1+4x2=32


Maximise 1170x1 + 1110x2


Subject to: 9x1 + 5x2 ≥ 500


7x1 + 9x2 ≥ 300


5x1 + 3x2 ≤ 1500


7x1 + 9x2 ≤ 1900


2x1 + 4x2 ≤ 1000


x1, x2 ≥ 0


-Find graphically the feasible region and the optimal solution.


Maximise 1170x1 + 1110x2

Subject to: 9x1 + 5x2 ≥ 500

7x1 + 9x2 ≥ 300

5x1 + 3x2 ≤ 1500

7x1 + 9x2 ≤ 1900 2x1 + 4x2 ≤ 1000 x1, x2 ≥ 0

-Find graphically the feasible region and the optimal solution.


Q2. Maximise 1170x1 + 1110x2

Subject to: 9x1 + 5x2 ≥ 500

7x1 + 9x2 ≥ 300

5x1 + 3x2 ≤ 1500

7x1 + 9x2 ≤ 1900

2x1 + 4x2 ≤ 1000

x1, x2 ≥ 0

-Find graphically the feasible region and the optimal solution.


Q2. Maximise 1170x1 + 1110x2

Subject to: 9x1 + 5x2 ≥ 500

7x1 + 9x2 ≥ 300

5x1 + 3x2 ≤ 1500

7x1 + 9x2 ≤ 1900

2x1 + 4x2 ≤ 1000

x1, x2 ≥ 0

-Find graphically the feasible region and the optimal solution.


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