Math Problem Statement
Solution
This problem involves formulating a linear programming (LP) model to maximize the profit for PT Bakery, which produces three types of bread: pia, bolukismis, and coklatkeju. Each type of bread has a set profit, requires different amounts of preparation, mixing, and baking time, and has minimum production constraints. We are tasked with finding the optimal solution under the time constraints for each process.
Variables:
Let:
- : number of pia produced
- : number of bolukismis produced
- : number of coklatkeju produced
Objective function:
Maximize the total profit. The profit for each type of bread is given as:
- Profit per pia = Rp 150
- Profit per bolukismis = Rp 400
- Profit per coklatkeju = Rp 600
Thus, the objective function is:
Constraints:
- Preparation time constraint (penyediaan max: 130 hours):
- Mixing time constraint (peracikan max: 170 hours):
- Baking time constraint (pengovenan max: 52 hours):
Minimum production constraints:
- Pia:
- Bolukismis:
- Coklatkeju:
Non-negativity constraints:
Full Linear Programming Model:
Subject to:
4x_1 + 2x_2 + 6x_3 &\leq 130 \\ 3x_1 + 4x_2 + 9x_3 &\leq 170 \\ 1x_1 + 2x_2 + 1x_3 &\leq 52 \\ x_1 &\geq 25 \\ x_2 &\geq 130 \\ x_3 &\geq 55 \\ x_1, x_2, x_3 &\geq 0 \end{aligned}$$ This is the LP formulation. To find the optimal solution, we could use the **Simplex Method** or a software tool like **Excel Solver** or **Python** with an LP solver. Would you like to proceed with solving this or need further details on any part? ### 5 related questions: 1. How do we determine which constraints are binding in an LP problem? 2. What is the geometric interpretation of this linear programming problem? 3. How can sensitivity analysis be applied once we find the optimal solution? 4. How would the solution change if the profit for *bolukismis* was increased to Rp 500? 5. What software tools can be used to solve linear programming problems efficiently? ### Tip: When solving LP problems, ensure all units are consistent (e.g., time in hours, profit in the same currency) to avoid calculation errors.Ask a new question for Free
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Math Problem Analysis
Mathematical Concepts
Linear Programming
Optimization
Formulas
Objective function: Maximize Z = 150x1 + 400x2 + 600x3
Constraints: 4x1 + 2x2 + 6x3 ≤ 130, 3x1 + 4x2 + 9x3 ≤ 170, 1x1 + 2x2 + 1x3 ≤ 52
Minimum production: x1 ≥ 25, x2 ≥ 130, x3 ≥ 55
Non-negativity constraints: x1, x2, x3 ≥ 0
Theorems
Simplex Method
Suitable Grade Level
Undergraduate level
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