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Two tailors A and B are paid ₹ 225 and ₹...

Two tailors A and B are paid ₹ 225 and ₹ 300 per day respectively.A can stitch 9 shirts and 6 pants while B can stitch 15 shirts and 6 pants per day.Form a linear programming problem to minimize the labour cost to produce at least 90 shirts and 48 pants.Solve the problem graphically.

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To solve the problem of minimizing the labor cost for tailors A and B while producing at least 90 shirts and 48 pants, we will follow these steps: ### Step 1: Define the Variables Let: - \( x \) = number of days tailor A works - \( y \) = number of days tailor B works ### Step 2: Formulate the Objective Function The labor cost per day for each tailor is given as: - Tailor A: ₹225 per day - Tailor B: ₹300 per day Thus, the objective function to minimize the total labor cost \( Z \) is: \[ Z = 225x + 300y \] ### Step 3: Formulate the Constraints From the problem, we know: - Tailor A can stitch 9 shirts and 6 pants per day. - Tailor B can stitch 15 shirts and 6 pants per day. We need to produce at least 90 shirts and 48 pants, which gives us the following constraints: 1. For shirts: \[ 9x + 15y \geq 90 \] Simplifying this constraint by dividing everything by 3: \[ 3x + 5y \geq 30 \quad \text{(Constraint 1)} \] 2. For pants: \[ 6x + 6y \geq 48 \] Simplifying this constraint by dividing everything by 6: \[ x + y \geq 8 \quad \text{(Constraint 2)} \] ### Step 4: Non-negativity Constraints Since the number of days cannot be negative, we have: \[ x \geq 0, \quad y \geq 0 \] ### Step 5: Graph the Constraints To graph the constraints, we will convert the inequalities into equations: 1. From \( 3x + 5y = 30 \): - When \( x = 0 \), \( y = 6 \) (y-intercept) - When \( y = 0 \), \( x = 10 \) (x-intercept) 2. From \( x + y = 8 \): - When \( x = 0 \), \( y = 8 \) (y-intercept) - When \( y = 0 \), \( x = 8 \) (x-intercept) ### Step 6: Identify the Feasible Region Plot the lines on a graph and shade the feasible region that satisfies both inequalities. The feasible region will be bounded by the lines and the axes. ### Step 7: Find the Corner Points The corner points of the feasible region can be found by solving the equations of the lines: 1. Intersection of \( 3x + 5y = 30 \) and \( x + y = 8 \): - From \( x + y = 8 \), we can express \( y = 8 - x \). - Substitute into \( 3x + 5(8 - x) = 30 \): \[ 3x + 40 - 5x = 30 \implies -2x = -10 \implies x = 5 \] - Substitute \( x = 5 \) back into \( y = 8 - x \): \[ y = 8 - 5 = 3 \] - So, one corner point is \( (5, 3) \). 2. The other corner points are: - \( (0, 6) \) from \( 3x + 5y = 30 \) - \( (10, 0) \) from \( 3x + 5y = 30 \) - \( (0, 8) \) from \( x + y = 8 \) - \( (8, 0) \) from \( x + y = 8 \) ### Step 8: Evaluate the Objective Function at Each Corner Point Now we will evaluate \( Z = 225x + 300y \) at each corner point: 1. At \( (0, 6) \): \[ Z = 225(0) + 300(6) = 1800 \] 2. At \( (10, 0) \): \[ Z = 225(10) + 300(0) = 2250 \] 3. At \( (5, 3) \): \[ Z = 225(5) + 300(3) = 1125 + 900 = 2025 \] 4. At \( (0, 8) \): \[ Z = 225(0) + 300(8) = 2400 \] 5. At \( (8, 0) \): \[ Z = 225(8) + 300(0) = 1800 \] ### Step 9: Determine the Minimum Value The minimum value of \( Z \) occurs at the point \( (5, 3) \) with: \[ Z = 2025 \] ### Conclusion The minimum labor cost to produce at least 90 shirts and 48 pants is ₹2025 when tailor A works for 5 days and tailor B works for 3 days.
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