A CASE ANALYSIS ON NORTH-SOUTH AIRLINE
I. CASE BACKGROUND
Northern Airlines merged with Southeast Airlines to create the fourth largest U.S. carrier in which it inherited both an aging fleet of Boeing 727-300 aircraft and Stephen Ruth.
As the new president of the airline, Stephen’s first concern is to create a financially solid company since it is a common presumption for airline industries that maintenance costs rise with the age of aircrafts.
He noticed that there have been significant differences in the reported B727-300 maintenance costs (from ATA Form 41s) both in the airframe and engine areas between Northern and Southeast Airlines, with Southeast having the newer fleet. He asked Peg Jones, Vice President for Operations and Finance
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Through the regression equation, we can say that per average age hour (thousands), there will be 2.6 increases in the airframe cost.
b. Then, we also determine the regression equation and correlation between North's engine cost and the average age of fleet. Please refer to Annex 3 for the QM results.
Regression line:
Engine Cost = 20.57 +.0026* Average Age (hour)
Coefficient of correlation = .78
Coefficient of determination = .61
For the engine cost, there is also a positive correlation thus; increase in this cost may also vary in the increase in average age of fleet per hour. However, on this cost, only 61% is determined in the regression equation. Like in the airframe cost, there will be additional 2.6 in cost for every hour of average age in thousands.
c. We determine the regression equation and correlation between South's engine cost and the average age of fleet. Please refer to Annex 4 for the QM results.
Regression line:
Airframe Cost = 4.60 +.0032* Average Age (hour)
Coefficient of correlation = .62
Coefficient of determination = .39For South Airlines' aircraft cost, there is also a positive correlation which means that as average age increases, airframe cost may also increase. But in terms of coefficient of determination, we can notice that only 39% of the airframe cost can be determined in the regression line based on the average age per hour. Through the regression equation, we can say that for every increase in average age hour
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