Abstract
Cargo plays a very important role in the aviation industry as a supporting revenue. In Airline X, cargo supports the revenue by 4% - 6% of the total revenue. There are opportunities to optimize the cargo compartment in Airline X by analyzing every agent involved in the purpose to know the optimum cargo loaded into the compartment using Agent-Based Modelling. The method used in this research is Rejection Sampling in Monte Carlo and Agent-Based Modelling. In addition, the theory used in this research is distribution function, to determine what type of distribution that represents the agent behavior. The final result shows that with the predetermined number of iterations, which is 300 iterations, the optimal value was obtained base on the convergent result. On the other hand, the distribution of passenger and baggage described as the Gaussian Distribution Function, while the distribution of EBT described as the Negative Exponential Distribution Function. These distributions represent agent behavior.
Highlights
In the aviation world, cargo plays a very important part
This chapter will discuss about the theory and method that will be used in this research i.e., Monte Carlo, Distribution Function, and Agent – Based Modelling
This chapter will elaborate step by step how the simulation run from week commencing that used to make the comparison in each day of the week, the distribution determination of each agents, Monte Carlo Rejection Method confirmation, and the simulation result with predetermined iteration number as the flowchart on the Figure 3.1
Summary
Most of businesses run in this world need logistic and need their goods, machine, stuffs, and others to be moved and shipped. Based on the monthly flown revenue report, cargo supported the revenue by 4% - 6% of the total revenue monthly. This percentage number of cargo revenue hit a similar percentage number compare to the passenger charter revenue, while passenger charter was the first business model of this airline. This is show that cargo is a good supporting revenue for the company
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