Maximization- differential equations confused

In summary, the problem you are stuck on is finding the thickness t that maximizes the production rate. You should use an equation for R as a function of t, and maximise it.
  • #1
LakeMountD
59
0
Can someone give me a lil input on this problem.

The production rate of good chips per hour in a microelectronics lithographic production line is given by the product of throughput, V, and yield of good chips, n.

V(chips/h) = 125 - 50t + 5t^2

n= 1 / [(1+D*a)^4]

where the defect density, D, increases as the thickness, t (micrometers), of the chihp decreases: D=0.75t^-3. The active area per chip site a = 0.25cm^2. Find the thickness t that maximizes the production rate. Calculate also the optimal throughput.

[Starting with a search region of .5(< or =) t (< or =) 2.5 use the bisection method to reduce the search region to 0.5 micrometers and then switch to the Newton-Raphson method. You should use an Excel, Maple, or MATLAB program to do the calculation.
 
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  • #2
What is it that you are stuck on ?
 
  • #3
I don't mean to sound like I just want an answer. I honestly just don't know where to start. Our professor basically throws this at us before teaching it so we get really confused on these word problems. Can you give me a hint on the first couple steps then i can reply with what i get stuck on? Thanks in advance.
 
  • #4
Have you done maximisation problems ?

You are supposed to have a function, then differenatiate it, then set that to zero and solve. You know about that yes ?

Or, if you do know about that, is it how to tackle this particular problem ?
 
  • #5
Fermat said:
Have you done maximisation problems ?
You are supposed to have a function, then differenatiate it, then set that to zero and solve. You know about that yes ?
Or, if you do know about that, is it how to tackle this particular problem ?


Yeah the problem is I don't know which one of those equations to maximize. That is the problem with I have with these word questions is that I never know which function to use and when.
 
  • #6
Ok.

What you have is a maximisation problem. So you have to search the question to find out what it is that should be maximised.

"Find the thickness t that maximizes the production rate"

Voila!

So now we have to find an expression for the production rate.

Searching through the text of the question again,

"The production rate ... is given by the product of throughput, V, and yield of good chips, n."

In other words,

R = kVn

Where R is the production rate and k is a positive constant.

Since we have to find the thickness t that maximises things, then we should get V and n in terms of t.

I'm sure that you can do that bit :smile:

You should now have R as a function of t, R = R(t), which you can maximise.

Just a little comment. You will end up with a quintic in t, at^5 + bt^4 + ... = 0, which will have 5 roots. Normally you would have to investigate every single root yourself, in order to find out which one corresponded to a maximum. But the question-setter has been kind to you by telling you which interval to search in, 0.5 to 2.5.
Actually,of the 5 roots, two are complex. Of the reamining three, one is negative, so is meaningless, and of the remaining two roots I imagine one is for maximisation and the other is for minimisation.

When doing the Newton-Raphson method, unless you are quite familiar with setting up iterations in Excel, Maple, or MATLAB, then just do it by hand. It only takes a few iterations.
 

Related to Maximization- differential equations confused

1. What is the difference between maximization and differential equations?

Maximization refers to finding the largest or most optimal value of a given function, while differential equations are mathematical equations that describe how a system changes over time. Maximization involves finding the maximum value of a function, while differential equations involve determining the rate of change of a variable.

2. How are maximization and differential equations related?

Maximization and differential equations are related in that they both involve finding optimal solutions. In some cases, differential equations can be used to model and solve maximization problems by representing the system's behavior over time.

3. Can differential equations be used for optimization problems?

Yes, differential equations can be used for optimization problems. By representing a system's behavior over time, differential equations can help determine the optimal values for certain variables in the system.

4. Are there any real-world applications for maximization and differential equations?

Yes, there are many real-world applications for maximization and differential equations. For example, optimization problems in economics, engineering, and physics can be solved using these concepts. Differential equations are also commonly used in modeling natural phenomena such as population growth and chemical reactions.

5. Is there a specific method for solving maximization problems using differential equations?

There is no one specific method for solving maximization problems using differential equations. It often depends on the specific problem and the type of differential equation involved. Some common methods include using calculus techniques, numerical methods, or computer simulations.

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