Math Problem Statement
π Question: A company produces two types of products, P and Q. The company has 24 hours of labor available. P requires 4 hours per unit, while Q requires 3 hours per unit. The company can manufacture at most 6 units of P and at most 8 units of Q. The profit per unit is βΉ60 for P and βΉ50 for Q.
Formulate and solve graphically to maximize profit.
Solution
Step 1: Define Variables
Let:
- be the number of units of product .
- be the number of units of product .
Step 2: Objective Function
The company wants to maximize profit, which is given by:
Step 3: Constraints
-
Labor Constraint: Each unit of requires 4 hours, and each unit of requires 3 hours. The company has 24 hours available:
-
Production Limits:
-
At most 6 units of :
-
At most 8 units of :
-
-
Non-Negativity Constraints: Since the number of units cannot be negative,
Step 4: Graphical Solution
We graph the feasible region by plotting the constraints.
Plotting the Constraint
-
Find intercepts:
- Set : β Point
- Set : β Point
-
Other Constraints:
- The vertical line
- The horizontal line
- The region is bounded in the first quadrant.
Finding Corner Points
The feasible region is bounded by:
-
(0,0) β No production.
-
(6,0) β Producing only P.
-
(0,8) β Producing only Q.
-
Intersection of with
-
Substituting in :
So, the point is , which was already considered.
-
-
Intersection of with
-
Substituting in :
So, the point is , which was already considered.
-
Thus, the corner points are: , , and .
Step 5: Calculate Profit at Each Corner
- At (0,0):
- At (6,0):
- At (0,8):
Step 6: Conclusion
The maximum profit is βΉ400, achieved by producing 0 units of P and 8 units of Q.
Would you like a graphical representation?
Here are some related questions:
- What happens if the labor hours increase from 24 to 30?
- How would the solution change if profit per unit of Q increased to βΉ60?
- What if an additional constraint, like a budget limit, is introduced?
- How do we solve this problem using the Simplex Method instead of graphically?
- How would we interpret the shadow price of labor in this case?
π‘ Tip: In graphical solutions, always check the feasible region before evaluating corner points.
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Math Problem Analysis
Mathematical Concepts
Linear Programming
Graphical Method
Optimization
Formulas
Objective Function: Z = 60x + 50y
Labor Constraint: 4x + 3y β€ 24
Production Constraints: x β€ 6, y β€ 8
Non-Negativity Constraints: x β₯ 0, y β₯ 0
Theorems
Fundamental Theorem of Linear Programming
Corner Point Theorem
Suitable Grade Level
Grades 10-12
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