Maximize Profit & Profit Calc for Jacket Prod.

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SUMMARY

The discussion focuses on maximizing profit for a jacket manufacturer, where the cost per jacket is $50 and the revenue function is defined as R(p) = 4000[e^(.01(p-100)) + 1]. To determine the optimal price for maximizing profit, participants emphasize the importance of calculating the first and second derivatives of the profit function P(p) = R(p) - 50p. The maximum profit occurs at the production limit of 250 jackets, yielding a profit of approximately $9500.

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  • Ability to apply the second derivative test for optimization.
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Economists, business analysts, and anyone involved in production management or pricing strategy will benefit from this discussion on maximizing profit through calculus-based methods.

kenny
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Pls Help! Calculus!

A manufacturer can produce jackets at a cost of $50 per jacket. If he produces p jackets weekly and all the jackets are sold, the revenue is R(p)=4000[e^.01(p-100) + 1]. Weekly production must be at least 100 and can't exceed 250... at wat price should the manufacturer sell the jackets to maximize profit... .and wat is the maximum weekly profit...
PLEASE HELP!
 
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the e^(.01(p-100)) ... the .01(p-100) is to the base e
 


Solve \frac {dR} {dp} = 0 for p

Then you can use the second derivative test to see if R(p) is a maximum or minimum.

Doug
 
read question carefully i need to find the max price of the jackets!... i don't understand this question
 
The manufacturer wants to maximize profit thus he wants to maximize revenue.

What you need to do is find the number of jackets p that maximizes revenue. The first and second derivatives of R(p) help you find that value. Once you know the number of jackets that maximizes revenue then you can find the revenue that those jackets will generate. Then you can find the revenue that one jacket will generate which is the price. Once you know the price then you know the profit for each jacket.

First you must find the derivative:

\frac{dR}{dp}=\frac{d}{dp}4000(e^{.01(p-100)}+1)

Then solve:

\frac{dR}{dp}=0

for p. Substituting the p thus found into the original R(p) will give you the revenue.

Then the price is:

\frac{R(p)}{p}

and the profit is:

R(p)-50p

Doug
 
thanks doug... but i have a problem here... i found dR/dp= e^.01(p+100)... after i make that equal to 0... but e^x can't be zero!... so wat do i do?
 
Then one of the endpoints of the interval takes the prize. Either

R(100)>R(250)

or vice-versa.

Doug
 
HOLD ON!

It's not the revenue you want to maximize but the profit!

The revenue is given as 4000(e^{.01(p-100)}+1) (which is obviously increasing for all x) and the cost function ("cost of $50 per jacket") 50p. The profit is 4000(e^{.01(p-100)}+1)- 50p.

In order to find the maximum profit, you need to find
\frac{dP}{dp}=\frac{d}{dp}4000(e^{.01(p-100)}+1)-50p and set it equal to zero.
That derivative is 400e^{.01(p-100)}- 50= 0 so
400e^{.01(p-100)}= 50

(Economists would say "marginal revenue equal marginal cost"- the revenue from selling "one more" jacket is equal to the cost of producing it.)

Hmm. The "marginal revenue" is still an exponential with a positive exponent so increasing: the maximum profit is still produced by producing and selling the largest possible number: 250 where the profit is about $9500.
 
Although we come up with the same answer your reasoning is more universal, shall we say
 

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