1) Suppose that, at the start of August 15, most of the hotel’s rooms have
been booked for the Labor Day weekend and only the rooms in Table 1 remain
free. Now consider the list of 6 reservation requests that came in on August
15, as shown in Table 2. Using the clearing prices that were computed in Table
8 in the Case, determine which customers should be offered a room and what
prices they will be charged in the following two scenarios:
a) Suppose
that customers will always take a room that is offered to them regardless of
the price. How much room and gaming revenue will the accepted guests generate
for the hotel?
The first three customers would be offered rooms and would accept. Total
room and gaming revenue would be $4,690 [Exhibit 1].
b) A
problem with the analysis in Question 1(a) is that it ignores potential price
sensitivity. Suppose that Tiers 1 and 2 customers will pay at most $250 per
room per night. Giving this willingness to pay, assume that these customers
will be charged a minimum of $250 per night. How much room and gaming revenue
will the accepted guests generate for the hotel? What drives the differences in
your answers?
The first, third and fifth customers would accept our quoted price. Total
room and gaming revenue from these three guests would be $4,405. Caller #6
would be turned away. Callers 2 and 4 would not accept our quoted price because
the total price was more than $250 per night [Exhibit 2].
2) Recall that Harrah’s computes its clearing prices by splitting its
forecasts for multiple-day stays (LOS >1) into distinct single-night stays.
This calculation does not fully capture the effect of multiple-night stays,
however. For example, if you honor a request for LOS = 3, then a room must be
blocked for three consecutive nights. How can you modify the clearing price
calculation to explicitly account for the effect of multiple-night stays? As in
Question 1(b), assume that Tiers 1 and 2 customers will be charged a minimum of
$250 per night.
a) With
these assumptions in mind, develop a method to account for multiple-night
stays, and apply that method to determine revised clearing prices for the nights
of August 31 through September 4. Explain the methodology that you used and
report your modified clearing prices.
To calculate the new clearning prices, one will have to account for two
factors, the change in the room rate, with the tier 1&2 paying $250 per
night and the impact of multiple-day stays.
To achive this objective, we will have to consider a sample of data, based
on the tier, their corresponding ADT value and the accepted room rate. The
total revenues from a given tier per stay (stay could correspond to multiple
nights) would be = {number of nights of stay * (ADT + room rate)}. Then based
on this data, we will calculate the total revenue generated from Aug 31 till
Sep 4th, by running a liner model against the number of people admitted into
the rooms for a given tier and for a given day.
Once, the values are obtained, we could then calculate the revenue
generated for a demand of 1 more room on a particular day. The difference
between this revenue and the previous revenue obtained (before we increased the
demand by 1 more) would give the clearing price for that particular day.
Based on the above method used, we get the below set of the revised
clearning price. We have also mentioned the previoud clearning price to show
the difference in the clearning price.
Clearing Price
|
31-Aug
|
1-Sep
|
2-Sep
|
3-Sep
|
4-Sep
|
Revised
|
319
|
751
|
881
|
535
|
535
|
Previous
|
285
|
285
|
881
|
285
|
69
|
b)
How
do your clearing prices compare to the clearing prices shown in Table 8 of the
Case? If they differ, why? If not, why not?
Clearing prices per our sensitivity analysis and Table 8 in the case differ
because Table 8 does not consider the length of stay for each tier level
[Exhibit 4].
3) Using the clearing prices you calculated in Question 2, go back and
re-solve Question 1(b). Determine which customers will be offered a room and
what prices they will be charged. How much room and gaming revenue will these
guests generate for the hotel? How does this value compare to the value
computed in your original answer to Question 1(b)?
We
determined that customers 1, 3 and 5 will accept our quoted price and will book
rooms [Exhibit 3] and will generate the same revenue calculated in question 1b.
of $4,405. These are also the same customers that accepted room offers in
question 1b.
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