TABLE 3.6 | SAMPLE DATA FOR RED BARON AIRLINES Samples Number of Late Planes in Sample of 300 Arrivals and Departures 1-10 3 8. 11 7 12 1 8. 11-20 3 7 9. 12 5 4 13 4 21-30 12 10 6. 2 8 2. 4. 2.

Practical Management Science
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Chapter2: Introduction To Spreadsheet Modeling
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Red Baron Airlines serves hundreds of cities each day, but
competition is increasing from smaller companies affiliated
with major carriers. One of the key competitive priorities is
on-time arrivals and departures. Red Baron defines on time as any arrival or departure that takes place within 15 minutes
of the scheduled time. To stay on top of the market, man-
agement set the high standard of 98 percent on-time per-
formance. The operations department was put in charge of
monitoring the performance of the airline. Each week, a ran-
dom sample of 300 flight arrivals and departures was checked
for schedule performance. Table 3.6 contains the numbers
of arrivals and departures over the last 30 weeks that did not
meet Red Baron’s definition of on-time service. Using three-
sigma control limits based on 98 percent on time arrivals
or departures, what can you tell the management about the
quality of service? Can you identify any nonrandom behavior
in the process? If so, what might cause the behavior?

TABLE 3.6 | SAMPLE DATA FOR RED BARON AIRLINES
Samples
Number of Late Planes in Sample of 300 Arrivals and Departures
1-10
3
8.
11
7
12
1
8.
11-20
3
7
9.
12
5
4
13
4
21-30
12
10
6.
2
8
2.
4.
2.
Transcribed Image Text:TABLE 3.6 | SAMPLE DATA FOR RED BARON AIRLINES Samples Number of Late Planes in Sample of 300 Arrivals and Departures 1-10 3 8. 11 7 12 1 8. 11-20 3 7 9. 12 5 4 13 4 21-30 12 10 6. 2 8 2. 4. 2.
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