A manufacturer produces two Models of bikes - Model X and Model Y. Model X takes a 6 man-hours to make per unit, while Model Y takes 10 man- hours per unit. There is a total of 450 man-hour available per week. Handling and Marketing costs are Rs 2000 and Rs 1000 per unit for Models X and Y respectively. The total funds available for these purposes are Rs 80,000 per week. Profits per unit for Models X and Y are Rs 1000 and Rs 500, respectively. How many bikes of each model should the manufacturer produce so as to yield a maximum profit? Find the maximum profit. |
Model X: 25, Model Y: 30; Max Profit: Rs 40,000 Model X: 40, Model Y: 0; Max Profit: Rs 40,000 Model X: 30, Model Y: 25; Max Profit: Rs 42,500 Model X: 30, Model Y: 25; Max Profit: Rs 35,500 |
Model X: 25, Model Y: 30; Max Profit: Rs 40,000 |
The correct answer is Option (1) → Model X: 25, Model Y: 30; Max Profit: Rs 40,000 Let x and y be the number of Models of bike produced by the manufacturer. Given information is Model X takes 6 man-hours to make per unit Model Y takes 10 man-hours to make per unit Total man-hours available = 450 $∴6x + 10y ≤ 450⇒3x+5y≤ 225$ ...(i) Handling and marketing cost of Model X and Y are ₹2,000 and ₹1,000 respectively Total funds available is ₹80,000 per week $∴2000x + 1000y ≤ 80,000$ $⇒2x + y ≤ 80$ ...(ii) and $x ≥80, y ≥0$ Profit (Z) per unit of models X and Y are ₹1,000 and ₹500 respectively So, $Z = 1000x + 500y$ The required LPP is Maximise $Z = 1000x + 500y$ subject to the constraints $3x+5y≤225$ ...(i)
$2x + y ≤ 80$ ...(ii)
$x≥0, y ≥0$ ...(iii) On solving eq. (i) and (ii) we get, $x = 25, y = 30$ Here, the feasible region is OABC, whose corner points are $O(0, 0), A(40, 0), B(25, 30)$ and $C(0, 45)$. Let us evaluate the value of Z.
Hence, the maximum profit is ₹40,000 by producing 25 bikes of Model X and 30 bikes of Model Y. |