Math Problem Statement
Solution
Let's break down the problem step by step.
Part (a):
The company has 138 kg of chocolate-covered nuts and 78 kg of chocolate-covered raisins. The products will be sold in two different mixes:
- Mix 1 contains half nuts and half raisins, and sells for $7 per kg.
- Mix 2 contains nuts and raisins, and sells for $9.50 per kg.
The company needs to decide how many kilograms of each mix to prepare in order to maximize revenue.
Let:
- be the kilograms of Mix 1.
- be the kilograms of Mix 2.
Each mix uses up the nuts and raisins according to its recipe, and the constraints are:
- Nuts constraint: (from the total amount of nuts available).
- Raisins constraint: (from the total amount of raisins available).
The objective is to maximize the revenue, which is given by:
We solve this linear programming problem to determine the values of and .
Part (b):
Now, the price of Mix 2 is raised to $11 per kg. The revenue equation becomes: The same constraints apply. We solve this revised problem to find the new optimal amounts of Mix 1 and Mix 2, and the maximum revenue.
I'll calculate the values using the appropriate method.### Results:
Part (a):
- The company should prepare 96 kg of Mix 1 and 120 kg of Mix 2.
- The maximum revenue will be $1812.
Part (b):
- After the price increase for Mix 2, the company should prepare 0 kg of Mix 1 and 184 kg of Mix 2.
- The maximum revenue will be $2024.
Would you like any more details or clarification?
Follow-up Questions:
- How are the constraints for the nuts and raisins derived?
- Why does the price change in Mix 2 affect the preparation amounts so drastically?
- How would the solution change if the price of Mix 1 increased?
- What other techniques could be used to solve this optimization problem?
- Can you explain how the linear programming method finds the optimal solution?
Tip:
When dealing with multiple products and limited resources, adjusting prices can dramatically shift production strategies to maximize revenue.
Ask a new question for Free
By Image
Drop file here or Click Here to upload
Math Problem Analysis
Mathematical Concepts
Linear Programming
Optimization
Revenue Maximization
Resource Allocation
Formulas
Revenue = 7x₁ + 9.5x₂ (initial) or Revenue = 7x₁ + 11x₂ (after price increase)
Nuts constraint: ½x₁ + ¾x₂ ≤ 138
Raisins constraint: ½x₁ + ¼x₂ ≤ 78
Theorems
Linear Programming Optimization
Simplex Method (optional)
Suitable Grade Level
Grades 10-12
Related Recommendation
Linear Programming: Maximizing Revenue with Mixed Products
Maximizing Revenue with Two Mixes of Nuts and Raisins Using Linear Equations
Maximize Revenue with Nut Mixtures: Standard vs. Deluxe Packages
Maximizing Profit with Linear Programming for Halloween Assortments
Maximizing Profit with Simplex Method: Tutti Frutti and Cherry Production