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A manufacturer produces bulbs and tubes. Each of these must be processed through two machines M1 and M2. A package of bulbs requires 1 hour of work on Machine M1 and 3 hours of work on Machine M2. - Mathematics and Statistics

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Question

A manufacturer produces bulbs and tubes. Each of these must be processed through two machines M1 and M2. A package of bulbs requires 1 hour of work on Machine M1 and 3 hours of work on Machine M2. A package of tubes requires 2 hours on Machine M1 and 4 hours on Machine M2. He earns a profit of ₹ 13.5 per package of bulbs and ₹ 55 per package of tubes. Formulate the LPP to maximize the profit, if he operates the machine M1, for almost 10 hours a day and machine M2 for almost 12 hours a day.

Sum
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Solution

Let the number of packages of bulbs produced by manufacturer be x and packages of tubes be y. The manufacturer earns a profit of ₹ 13.5 per package of bulbs and ₹ 55 per package of tubes.
Therefore, his total profit is p = ₹ (13.5x + 55y)

This is a linear function that is to be maximized. Hence, it is an objective function.

The constraints are as per the following table:

  Bulbs (x) Tubes (y) Available Time
Machine M1 1 2 10
Machine M2 3 4 12

From the table, the total time required for Machine M1 is (x + 2y) hours and for Machine M2 is (3x + 4y) hours. Given Machine M1 and M2 are available for at most 10 hours and 12 hours a day respectively. 

Therefore, the constraints are x + 2y ≤ 10, 3x + 4y ≤ 12. Since, x and y cannot be negative, we have, x ≥ 0, y ≥ 0. Hence, the given LPP can be formulated as:

Maximize p = 13.5x + 55y, subject to

x + 2y ≤ 10,  3x + 4y ≤ 12,  x ≥ 0, y ≥ 0

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Chapter 7: Linear Programming - Exercise 7.3 [Page 237]

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