CARGO OPTIMIZATION IN AN AIRLINE USING AGENT – BASED MODELLING

Cargo plays a very important role in the aviation industry as supporting revenue. In Airline X, cargo supports revenue by 4% - 6% of total There are opportunities to optimize compartment X analyzing every agent involved purpose know optimum loaded into using Agent-Based Modelling. The method used this research is Rejection Sampling Monte Carlo and addition, theory distribution function, determine what type that represents behavior. final result shows with predetermined number iterations, which 300 optimal value was obtained base on convergent result. On other hand, passenger baggage described Gaussian Distribution Function, while EBT Negative Exponential Function. These distributions represent