A Bayesian Approach to Modeling and Evaluating Aircraft Service Queues at Adi Soemarmo International Airport

Over time, the transportation sector has also experienced significant progress. One of the easily observable phenomena in daily life is queuing at public transportation facilities, particularly at airports. Airport service facilities cannot avoid queuing events due to the large number of arriving aircraft; however, queues can be minimized with an efficient system. The purpose of this research is to understand the aircraft queuing system at the Apron of Adi Soemarmo International Airport in Surakarta. The Bayesian method is employed to combine previous research and this study to obtain new information. The sample distributions (Weibull and inverse Gaussian) and prior distributions (Inverse Gaussian and Weibull) obtained from previous research are combined with the likelihood function of the sample to derive the posterior distribution. After calculating the posterior distribution, it is found that the queuing model for aircraft at Adi Soemarmo International Airport is (GAMMA/GAMMA/3):(GD/∞/∞), where it meets the steady-state conditions, and the queuing system at Adi Soemarmo International Airport, based on performance measures, is considered satisfactory.