Linear Programming Graph

The graph illustrates the feasible region formed by the intersection of Machine Time and Craftsmanship constraints.

Step-by-Step Solution

Topic: Linear Programming Problems (LPP)

Step-by-Step Solution

Topic: Linear Programming Problems (LPP)

1. Define Variables & Data

Let x = Number of Cricket Bats.

Let y = Number of Tennis Rackets.

Item Machine Time (h) Craft Time (h) Profit (₹)
Bat (x) 3 1 10
Racket (y) 1.5 3 20
Max Available 42 24

(I) TOTAL PROFIT EXPRESSION (Z)

Total Profit = (Profit per Bat × Bats) + (Profit per Racket × Rackets)

Z = 10x + 20y

Z = 10x + 20y

(II) CRAFTSMANSHIP CONSTRAINT

Time for x bats = 1x hours.

Time for y rackets = 3y hours.

Total time available is 24 hours.

x + 3y ≤ 24

(III) MAXIMIZATION

Step 1: Write all constraints

  1. Machine: 3x + 1.5y ≤ 42 (Simplify by dividing by 1.5: 2x + y ≤ 28)
  2. Craft: x + 3y ≤ 24
  3. Non-negative: x ≥ 0, y ≥ 0

Step 2: Find Intersection Point

Multiply eq(ii) by 2: 2x + 6y = 48

Subtract eq(i) (2x + y = 28) from this: 5y = 20 ⇒ y = 4

Substitute y=4 in eq(ii): x + 12 = 24 ⇒ x = 12

Intersection Point = (12, 4)

Step 3: Corner Point Table

Corner Point (x, y) Value of Z = 10x + 20y
(0, 0) 0
(0, 8) 10(0) + 20(8) = 160
(14, 0) 10(14) + 20(0) = 140
(12, 4) 10(12) + 20(4) = 120 + 80 = 200
(a) Maximum Profit = ₹ 200
(b) Production: 12 Bats and 4 Rackets

⚠️ Silly Mistake Audit: Variable Assignment

Read the variable definition carefully!
The question text lists “tennis rackets” first in the description, but then defines “x” as the number of bats and “y” as the number of rackets.
A common mistake is assuming x = first item mentioned (rackets) and y = second item (bats). This would swap your coefficients in the Profit function and constraints, leading to a completely wrong answer.