Math Problem Statement
Solution
The problem provided involves linear programming for optimizing the production of tables and chairs at Angel Furniture Shop. Here's how we can tackle each of the requested tasks step by step:
Problem Summary:
- Departments: There are two departments (Department 1 and Department 2).
- Available Hours: Department 1 has 120 hours and Department 2 has 96 hours available for one production period.
- Production Time:
- Producing one table requires 5 hours in Department 1 and 4 hours in Department 2.
- Producing one chair requires 6 hours in Department 1 and 3 hours in Department 2.
- Profit:
- Profit for one table: ₱30.00
- Profit for one chair: ₱24.00
Required Tasks:
- Formulate the objective function.
- Formulate the constraints.
- Prepare a graph.
- Determine the feasible region and shade it in the graph.
- Formulate a decision.
Step 1: Formulate the Objective Function
The objective is to maximize profit, which is the sum of profits from tables and chairs. Let:
- = number of tables produced
- = number of chairs produced
The profit function (Objective Function) is: Where represents the total profit.
Step 2: Formulate the Constraints
The constraints arise from the limited hours available in each department.
-
Department 1 Constraint:
- Producing one table takes 5 hours, and one chair takes 6 hours.
- Total hours available in Department 1: 120 hours.
-
Department 2 Constraint:
- Producing one table takes 4 hours, and one chair takes 3 hours.
- Total hours available in Department 2: 96 hours.
-
Non-negativity constraints:
Step 3: Prepare a Graph
To graph these inequalities, we'll plot the lines corresponding to the constraints:
We will find the intercepts for these lines, and then draw the lines on a graph to determine the feasible region.
-
For :
- -intercept: Set , then , so .
- -intercept: Set , then , so .
-
For :
- -intercept: Set , then , so .
- -intercept: Set , then , so .
Step 4: Determine the Feasible Region
The feasible region is the area of the graph where all the constraints overlap. We need to find the intersection points of the lines and shade the region that satisfies all the inequalities.
Step 5: Formulate a Decision
After identifying the feasible region, the next step is to find the point in this region that maximizes the objective function . This can be done by evaluating at the vertices (corner points) of the feasible region.
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Math Problem Analysis
Mathematical Concepts
Linear Programming
Optimization
Graphing Systems of Inequalities
Formulas
Objective function: Max Z = 30x + 24y
Department 1 constraint: 5x + 6y <= 120
Department 2 constraint: 4x + 3y <= 96
Non-negativity constraint: x >= 0, y >= 0
Theorems
Feasible Region Theorem
Corner Point Theorem
Suitable Grade Level
Undergraduate (Operations Research, Business Mathematics)
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