Business Calculus
|
AQ1 |
|
|
|
|
|
X410 |
Units [x] |
Cost [C] |
Rev [R] |
Profit [P] |
|
|
100 |
218750 |
42500 |
-176250 |
|
|
250 |
257188 |
96875 |
-160313 |
|
|
500 |
308750 |
162500 |
-146250 |
|
|
800 |
350000 |
200000 |
-150000 |
|
|
1000 |
365000 |
200000 |
-165000 |
|
|
1200 |
370000 |
180000 |
-190000 |
|
|
1300 |
368750 |
162500 |
-206250 |
One day, the Division Director asks you to informally review the current total Cost “C”, Revenue “R” and Profit “P” models associated with associated with Product line “###”, the Division’s newest, but possibly underperforming, product line. Among other important questions, the Director would like answers to ones provided below. [The dependent variables are “C”, “R” or “P”; the independent variable is “x”, the number of units (produced and) sold]. Quadratic “C”, “R” or “P” models provide the “best fit” to the data on which the these models (referenced above), are based. These models follow:
C = –0.125(x)2 + 300(x)1 + 190,000 with [(R^2)] = 1.0.
R = –0.25(x)2 + 450(x)1 with [(R^2)] = 1.0.
P = –0.125(x)2 + 150(x)1 – 190,000 with [(R^2)] = 1.0.
a. Calculate how many product units “x” should be sold per sales period to maximize this product’s total Profit “P”…then…calculate “Pmax” at this “x” value. Assume market constraints suggest that 1,400 is the maximum number of product units that actually can be sold per sales period per sales period.
Solution
For 2nd order, optimum value exists is on vertex.
The product units that will maximize profit , x= -b/2a, where b=150 and a = -0.125.
In other words, the vertex of equation ,
1) The optimum profit will be at x = 600
So,
2) 600 units lies in the range , below 1400 units , and therefore , the optimum profit will be at x = 600
b. If internal production or external market constraints were not an issue, determine, if possible, the minimum number of product units “x” that must be produced and sold in order to “break even” (i.e. generate a Profit of $0.00).
Solution;
At break –even point, total revenue equals to total costs and thus P(x) = 0.
Solving for x , using quadratic formula
The value under the square root is -72500, and the roots will be imaginary numbers.
Therefore , it is not possible to find break even points.