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Solve the following Linear Programming Problems graphically: Minimise Z = – 3x + 4 y subject to x + 2y ≤ 8, 3x + 2y ≤ 12, x ≥ 0, y ≥ 0.

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Question

Solve the following Linear Programming Problems graphically:

Minimise Z = – 3x + 4 y

subject to x + 2y ≤ 8, 3x + 2y ≤ 12, x ≥ 0, y ≥ 0.

Sum
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Solution

The system of constraints is

x + 2y ≤ 8                   ....(i)

3x + 2y ≤ 12                ....(ii)

and x ≥ 0, y ≥ 0         ...(iii)

Let `l_1: x + 2y = 8;  l_2: 3x + 2y = 12`

The shaded region in the figure is the feasible region determined by the system of constraints (i) to (iii).

It is observed that the feasible region OCEB is bounded.

Thus, we use the Corner Point Method to determine the minimum value of Z.

We have, Z = - 3x + 4y

The co-ordinates of O, C, E and B are (0, 0), (4, 0), (2, 3)

(on solving x + 2y = 8 and 3x + 2y = 12) and (0, 4) respectively.

Corner Point Corresponding values of Z
(0, 0) 0
(4, 0) -12 (Minimum)
(2, 3) 6
(0, 4) 16

Hence, Zmin = -12 at the point ( 4, 0)

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Chapter 12: Linear Programming - Exercise 12.1 [Page 514]

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NCERT Mathematics Part 1 and 2 [English] Class 12
Chapter 12 Linear Programming
Exercise 12.1 | Q 2 | Page 514

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