In: Operations Management
Q4 Hotel California has 160 rooms. The hotel has an ample low-fare demand at the room rate of $200 per night, but the demand from the high-fare class which pays $450 per night on average, is uncertain. Table below shows the number of high-fare rooms that were booked during the past 30 days. How many rooms should Hotel California protect for high-fare customers to maximize its expected revenue? (6 points)
Number of high-fare rooms |
Frequency |
0 |
5 |
1 |
3 |
2 |
6 |
3 |
8 |
4 |
4 |
5 |
1 |
6 |
1 |
7 |
2 |
Total=30 |
Booking limit is number of rooms that are available for the booking to the low-fare customers.
Protection level (Q) is the number of rooms that are reserved for the high-fare customers.
Booking Limit = Total number of rooms - Protection Level
Booking Limit = 160 - Q
We have,
Low rate = rL = $200/night
High rate = rH = $450/night
If D is the demand of the high-rate customers, then the ideal case will be to protect Q = D rooms for the high-rate customers
Overage Cost
If D < Q, then we are protecting too many rooms and will lead to the loss of the low-rate customers as we could have sold those protected but empty rooms that are not filled to the low-rate customers i.e. at least at a lower rate.
So, Overage Cost Co = rL
Underage Cost If D > Q, then we are protecting fewer rooms and it will lead to a loss of the high-rate customers and we could have sold the additional D - Q rooms at a higher rate as against the lower rate.
So, Underage Cost Cu = rH - rL
Optimum Fare Protection Level F(Q) = Critical Ratio = Cu / (Cu + Co) = (rH - rL) / rH
Critical Ratio = (rH - rL) / rH
Critical Ratio = (450 - 200) / 450
Critical Ratio = 0.556
For a cumulative probability of 0.733, which is nearly the critical ratio, the corresponding protection level of 3 rooms will help Hotel Californiafor maximizing its revenue.
Because the critical ratio is much higher than 0.467 i.e. for 2 rooms, we prefer 3 rooms.
Answer: 3 rooms