Optimization in economics help

In summary, to maximize profit, the grocer should buy 9 dozen pineapples and offer a price of $0.08 per pineapple. This can be determined by taking the derivative of the revenue equation and setting it equal to 0, then solving for the optimal value of y.
  • #1
awmonster
1
0

Homework Statement


A grocer usually buys 30 dozen pineapples per week. The cost per pinapple is $0.40 and they are sold at 0.78 a piece. As there is an abundant crop on May, the wholesaler offers a discount of $0.05 per pineapple for each additional order of 5 dozens (i.e. if the grocer buys 35 dozen, then the cost per pineapple is $0.35) In order to ensure that all of these perishable items are sold, the grocer decides to decrease the unit price by $0.08 for each additional 5 dozen that are bought (i.e. if the grocer buys 35 dozen, then the price per pineapple is $0.70) How many dozen pineapples should the grocer buy in order to maximize the profit?

Homework Equations


Profit=(sale price-cost price)(x number of pineapples sold)
y= number of 5 dozen additional pinapples, i.e. if grocer buys 35 dozen y=1, 40 dozen then y=2

The Attempt at a Solution


Sale Price=0.78-0.08y
Cost Price=0.40-0.05y
Profit=x(0.38-0.03y)
I am lost after this...
 
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  • #2

I would suggest approaching this problem using a mathematical model to determine the optimal number of dozen pineapples to buy in order to maximize profit.

First, let's define some variables:
- x: number of dozen pineapples bought (we will assume this is a whole number)
- y: number of additional orders of 5 dozen pineapples (we will assume this is a whole number as well)
- C: cost per pineapple
- P: price per pineapple
- R: revenue (total amount received from selling pineapples)
- D: total number of pineapples bought (D = 12x)

Now, we can write the following equations:
C = 0.40 - 0.05y
P = 0.78 - 0.08y
R = P*D = (0.78 - 0.08y)*12x = 9.36x - 0.96xy

To maximize profit, we need to find the value of x that will give us the maximum value of R. To do this, we can take the derivative of R with respect to x and set it equal to 0:
dR/dx = 9.36 - 0.96y = 0
9.36 = 0.96y
y = 9.75

Now, we can plug this value of y back into our equation for P to find the optimal price per pineapple:
P = 0.78 - 0.08*9.75 = 0.08

This means that the grocer should buy 9 dozen pineapples (108 pineapples) and offer a price of $0.08 per pineapple to maximize profit.

I hope this helps you in your problem-solving process. Best of luck!
 

Related to Optimization in economics help

1. What is optimization in economics?

In economics, optimization refers to the process of finding the best possible outcome or solution to a problem, given a set of constraints. It involves maximizing or minimizing a certain objective function, such as profit or cost, while taking into account various limitations and trade-offs.

2. Why is optimization important in economics?

Optimization is important in economics because it allows individuals, businesses, and governments to make informed decisions and allocate resources efficiently. It helps to identify the most efficient use of resources, maximize profits, and minimize costs, which can lead to overall economic growth and stability.

3. What are the different types of optimization in economics?

There are several types of optimization in economics, including linear programming, nonlinear programming, dynamic programming, and game theory. Each type is used to solve different types of problems, such as allocating resources, determining pricing strategies, and making strategic decisions.

4. How is optimization used in real-world economic problems?

Optimization is used in various real-world economic problems, such as production planning, inventory management, supply chain optimization, and financial portfolio management. It is also used in macroeconomics to optimize policies and regulations to achieve economic stability and growth.

5. What are the limitations of optimization in economics?

While optimization can be a powerful tool in economics, it also has its limitations. For instance, it assumes that individuals and businesses are rational decision-makers, which may not always be the case. It also relies on accurate and complete information, which may not always be available. Additionally, external factors, such as market fluctuations and unforeseen events, can affect the success of an optimized solution.

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