Your hotel has 200 rooms in Dallas. There is a sport event coming up, and fans either book a rooms months before or wait for the last minute. You charge $200 per night for those who book early and $500 per night for those who book at the last minute. Demand for early booking is easy to get. The number of last minute customers is normally distributed with mean 75 and standard deviation 25. How many rooms should be set for early book customer?

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Answer:

89 rooms should be set for early book customer

Step-by-step explanation:

According to the given data we have the following:

OVERAGE(CO) = 200

SHORTAGE(CS) = 500

In order to calculate how many rooms should be set for early book customer we would have to use the following formula:

OPTIMAL BOOKING = MEAN + (Z * STDEV)

MEAN = 75

STDEV = 25

SERVICE LEVEL= CS / (CS + CO) = 500 / (500 + 200) = 0.7143

Z VALUE FOR 0.7143 = 0.57

OPTIMAL BOOKING =  75 + (0.57 * 25) = 89

89 rooms should be set for early book customer

A standard deviation is a measure of how dispersed the data is in relation to the mean.

89 rooms should be set for early book customer

Since,  charge $200 per night for those who book early and $500 per night for those who book at the last minute.

Charge for early booking ,  (EB) = $200 per night

Charge for last minute booking, (LB) = $500 per night

To find how many rooms should be set for early book customer

we will use formula shown below,

[tex]= Mean + (Z * deviation)[/tex]

Given that, mean  is 75 and standard deviation is 25.

Probability of  early booking , [tex]p=\frac{500}{500+200}=0.7143[/tex]

From z - table, Z - value corresponding to p- value of 0.7143 is 0.57

 So, Z- value for 0.7143 = 0.57

Thus, number of room for early booking is,

                           = [tex]75+(0.57*25)=89.25[/tex]

Hence, 89 rooms should be set for early book customer.

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