Abstract:
Purpose- The major aim of this study was to find the optimum technique which best fits component failure data depending on aircraft flying hours. The data was taken from Airblue archives
Methodology/sample- The study involved use of quantitative data in terms of aircraft flying hours and the defects which occurred between June 2012 to June 2013 i.e a total of 13 samples were taken and goodness of fit test was applied to find out whether Weibull or exponential better fit the data. The MTTF was thus calculated though the identified distribution.
Findings- The goodness of fit test using Anderson Darling statistic and p-value was carried out on the sample component failure data, which showed that Weibull distribution provided the optimum fit. The MTTF of sample data came out to be 17000 FH.
Practical Implications- The outcomes of the research might help ABO engineering department to assess and utilize component and system failure data to find optimum replacement interval to reduce unscheduled grounding of aircraft and to reduce delays/cancellations to have better customer retention
