Demand for a six-foot trees at Home Depot is approximated by a random variable with density function given below (units in hundred trees). Suppose Home Depot buys six-foot trees for $20 and sells them for $45. Any trees not sold are shredded. Find the number of trees that should be ordered to maximize expected profit.
cx, for 5 <= x <= 10
F(x)=
0, elsewhere
Solution
Back-up Theory
Expected profit = [Σ{Profit (p)} x P(p)], sum over all possible values of p.
Now, to work out the solution,
Let q = number of trees ordered and x = demand for trees.
Then, using the given density function, the numerical probabilities are as follows:
X (in hundreds) |
5 |
6 |
7 |
8 |
9 |
10 |
Total |
Probability density |
5c |
6c |
7c |
8c |
9c |
10c |
45c |
Numerical Probability |
0.1111 |
0.1333 |
0.1556 |
0.1778 |
0.2000 |
0.2222 |
1.0000 |
Note that the total probability must be 1. Hence, 45c = 1 or c = 1/45.
Now, profit
= (45 - 20) = 25q if it sells, i.e., x ≥ q
= 25x - (q - x)(20) = 5x – 20q if x < q
Expected profit
q |
x |
||||||
5 |
6 |
7 |
8 |
9 |
10 |
||
5 |
125 |
125 |
125 |
125 |
125 |
125 |
|
6 |
105 |
150 |
150 |
150 |
150 |
150 |
|
7 |
85 |
130 |
175 |
175 |
175 |
175 |
|
8 |
65 |
110 |
155 |
200 |
200 |
200 |
|
9 |
45 |
90 |
135 |
180 |
225 |
225 |
|
10.00 |
25 |
70 |
115 |
160 |
205 |
250 |
|
Probability |
0.1111 |
0.1333 |
0.1556 |
0.1778 |
0.2000 |
0.2222 |
Expd Profit |
profit x probability - q = 5 |
13.889 |
16.667 |
19.444 |
22.225 |
25.000 |
27.778 |
125.003 |
6 |
11.667 |
20.000 |
23.333 |
26.670 |
30.000 |
33.333 |
145.003 |
7 |
9.444 |
17.333 |
27.222 |
31.115 |
35.000 |
38.889 |
159.004 |
8 |
7.222 |
14.667 |
24.111 |
35.560 |
40.000 |
44.444 |
166.004 |
9 |
5.000 |
12.000 |
21.000 |
32.004 |
45.000 |
50.000 |
165.004 |
10 |
2.778 |
9.333 |
17.889 |
28.448 |
41.000 |
55.556 |
155.004 |
Since expected profit of $16600.40 is maximum, optimum number of trees to be ordered is 8. Answer
DONE
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