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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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प्रश्न

Solve the following Linear Programming Problems graphically:

Minimise Z = – 3x + 4 y

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

योग
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उत्तर

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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अध्याय 12: Linear Programming - Exercise 12.1 [पृष्ठ ५१४]

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एनसीईआरटी Mathematics Part 1 and 2 [English] Class 12
अध्याय 12 Linear Programming
Exercise 12.1 | Q 2 | पृष्ठ ५१४

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