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MCS,PHD
Argosy University/ Phoniex University/
Nov-2005 - Oct-2011
Professor
Phoniex University
Oct-2001 - Nov-2016
Central Airlines would like to set up a control chart to monitor its on-time arrival performance. Each day over a 10-day period Central Airlines chose 30 flights at random and tracked the number of late arrivals in each sample. The results are as follows:
|
DAY |
SAMPLE SIZE
|
NO. OF LATE ARRIVING FLIGHTS
|
|
1 |
30 |
2 |
|
2 |
30 |
3 |
|
3 |
30 |
4 |
|
4 |
30 |
0 |
|
5 |
30 |
1 |
|
6 |
30 |
6 |
|
7 |
30 |
4 |
|
8 |
30 |
2 |
|
9 |
30 |
3 |
|
10 |
30 |
5 |
a. (*) Calculate
b. (**) Set up a p chart to track the proportion of late arrivals. (Note: Each sample consists of 30 observations.)
c. (***) Airline travel is characterized by busy and slow seasons. As a result, what is “normal” during one time of the year wouldn’t be “normal” at some other time. What difficulties might arise as a result of using a single control chart to track the proportion of late arrivals? What could Central Airlines do about this?
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