In: Statistics and Probability
Pete owns a small business renting out bicycles in Vancouver. He
rents each bike for $5 a day. After a year, his rental bikes are
worn out and they become basically worthless. So each year Pete
gives his old bikes to a local charity and replaces his entire
fleet of bikes. Pete buys his bikes from a local manufacturer at
the discounted price of $500 each.
Pete has estimated the following probability distribution of the
number of bikes he can expect to rent on any given day:
Number of bikes rented per day |
10 |
11 |
12 |
13 |
14 |
Probability |
0.10 |
0.25 |
0.40 |
0.20 |
0.05 |
After Pete rents out a bike, he has to clean and tune it before
he can rent it out again. The average cost of this maintenance is
$2 per bike. This includes the cost of materials and the
opportunity cost of Pete’s time.
Pete’s store is open five days a week year round, except during a
four-week period each January when he goes skiing.
How many bikes should Pete buy each year to maximize his expected
profit?
Total number of weeks in a year are 52 out of which he goes for skiing for 4 weeks and the store is open for 5 days a week.
So, Number of days it is open in a year is (52-4)*5= 240 days
If PETE buys 10 bikes-
Total cost =10*500=5000$
Total income from rent= 240*10*5=12000$
Total maintainance cost= 240*10*2=4800$
Profit= 12000-5000-4800=2200$
If PETE buys 11 bikes-
Total cost =500*11=5500$
Total income from rent=240*5*11=13200$
Total maintainance cost= 240*11*2=5280$
Profit= 13200-5500-5280=2420
If PETE buys 12 bikes-
Total cost = 500*12=6000$
Total income from rent=240*12*5=14400$
Total maintainance cost=240*12*2=5760$
Profit=14400$-6000$-5760$=2460
If PETE buys 13 bikes-
Total cost =500*13=6500
Total income from rent=240*13*5=15600$
Total maintainance cost=240*13*2=6240
Profit=15600-6500-6240=2860
If PETE buys 14 bikes-
Total cost =500*14=7000
Total income from rent=240*14*5=16800
Total maintainance cost=240*14*2=6720
Profit=16800-6720-7000=3080
EXPECTED PROFIT FOR EACH CASE-
10 BIKES=2200*0.1=220
11 BIKES=2420*0.25=605
12 BIKES=2460*0.4=984
13 BIKES=2860*0.2=572
14 BIKES=3080*0.05=154
So, pete should buy 12 bikes to maximize expected profit.