South Central Airlines operates a commuter flight between Atlanta and Charlotte. The plane holds 27 passengers, and the airline makes a $98 profit on each passenger on the flight. When South Central takes 25 reservations for the flight, experience has shown that, on average, two passengers do not show up. As a result, with 27 reservations, South Central is averaging 25 passengers with a profit of 25(98) = $2,450 per flight. The airline operations office has asked for an evaluation of an overbooking strategy in which the airline would accept 29 reservations even though the airplane holds only 27 passengers. The probability distribution for the number of passengers showing up when 29 reservations are accepted is as follows:
Passenger Showing Up | Probability |
25 | 0.05 |
26 | 0.25 |
27 | 0.50 |
28 | 0.15 |
29 |
0.05 |
The airline will receive a profit of $98 for each passenger on the flight, up to the capacity of 27 passengers. The airline will also incur a cost for any passenger denied seating on the flight. This cost covers added expenses of rescheduling the passenger as well as loss of goodwill, estimated to be $130 per passenger. Develop a worksheet model that will simulate the performance of the overbooking system. Simulate the number of passengers showing up for each of 500 flights by using the VLOOKUP function. Use the results to compute the profit for each flight.
What is the mean profit per flight if overbooking is
implemented? Round your answer to the nearest dollar.
Over $ = ?
Values for RAND() |
0.7346 |
0.8378 |
0.8956 |
0.0441 |
0.4378 |
0.4604 |
0.0718 |
0.3930 |
0.4445 |
0.7211 |
0.1036 |
0.0617 |
0.0801 |
0.6012 |
0.1322 |
0.3333 |
0.8035 |
0.7896 |
0.4370 |
0.0231 |
0.2353 |
0.1021 |
0.5164 |
0.0907 |
0.2147 |
0.8732 |
0.8408 |
0.7182 |
0.5756 |
0.8693 |
0.2486 |
0.7249 |
0.5410 |
0.0816 |
0.1111 |
0.0006 |
0.4044 |
0.7609 |
0.9636 |
0.7910 |
0.2083 |
0.6918 |
0.3680 |
0.1092 |
0.1961 |
0.7305 |
0.5340 |
0.3901 |
0.0638 |
0.7303 |
0.0931 |
0.2691 |
0.0790 |
0.9540 |
0.9784 |
----------------------------
Values for RAND() | Passenger Showing Up | Seat given | Denied | Profit for seat given | Cost for denied | Net profit | Average net profit | Cumulative | Passenger Showing Up | Probability | ||
0.7346 | 27 | 27 | 0 | $2,646 | $0 | $2,646 | $2,581 | 0.00 | 25 | 0.05 | ||
0.8378 | 28 | 27 | 1 | $2,646 | $130 | $2,516 | 0.05 | 26 | 0.25 | |||
0.8956 | 28 | 27 | 1 | $2,646 | $130 | $2,516 | 0.30 | 27 | 0.50 | |||
0.0441 | 25 | 25 | 0 | $2,450 | $0 | $2,450 | 0.80 | 28 | 0.15 | |||
0.4378 | 27 | 27 | 0 | $2,646 | $0 | $2,646 | 0.95 | 29 | 0.05 | |||
0.4604 | 27 | 27 | 0 | $2,646 | $0 | $2,646 | ||||||
0.0718 | 26 | 26 | 0 | $2,548 | $0 | $2,548 | ||||||
0.393 | 27 | 27 | 0 | $2,646 | $0 | $2,646 | ||||||
0.4445 | 27 | 27 | 0 | $2,646 | $0 | $2,646 |
The mean profit per flight is coming as $2,581.
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