Airport operation level of service (LOS) and performance management are among the major concerns by any airport authority. Two aspects considered in that kind of measurement: passengers prospective and operators prospective. This thesis tries to combine both in its produced optimisation system. This study was carried out in the Hajj terminal of the King Abdul-Aziz international airport and classified the processing time among the most important measures affecting the users’ observation of the level of service. Produced survey has helped to generate performance measure upon passengers prospective. On the other hand a simulation model of the process flow is utilised to formulate driven data model of the terminal process flow operations. The model built on Arena software and correlation study is made from the multiple “what if” scenarios of the model. Then a linear regression is used to generate a model for each variable. Levenberg–Marquardt (LM) algorithm is used after to carry out better regression model then Neuro-Fuzzy (NF) model found to be more efficient as it is picked and used to generate a best observed prediction. The system is optimised through the generated Neuro-Fuzzy (NF) logic model using both Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). A validation in addition to the testing made in the optimisation system. Analysis shows a great deal of improvement in predictions using fuzzy logic instead of linear regression for all dependent variables. PSO and GA optimisations are carried out and compared to the actual results gathered from the Arena simulation report.

Operations research and queue theory have many different applications, providing tremendous value for different organizations. With the rise of fast computers and better data, stochastic processes can be better modeled into simulations to provide results of higher quality. The application of Operations Research is a very interesting intersection of mathematics, statistics, computer science and management science. In this project, the benefits of using point wise stationary approximations and stationary independent period by period approximationsto simulate staffing requirements at LAX (Los Angeles International Airport) in conjuction are examined with the motivation of reducing arrival processing times. This paper then examines the performance of different airport layouts, utilizing a discrete event simulation.

<p>Runway and taxiway configuration could affect airport capacity and safety, and airline taxiing time and fuel consumption. In this study, a discrete-event stochastic simulation model is created to explore the impact of four different runway and taxiway choices on a fictional airport with parallel runways that have End-Around Taxiways (EAT) at each end. Scenario 1 represent the conventional runway and taxiway choices used in parallel runway systems, while Scenarios 2, 3, and 4 mimic three new choices that become possible because of the usage of the EAT. Three designed experiments are used to explore the influence of the four scenarios in terms of taxi time, fuel consumption, and number of runway crossings during high traffic periods, as well as the ability to cope with increases in the load level. </p> <p>Some main findings are: 1) using the outboard runway to land and the EAT as the taxi-in path would yield the shortest average taxi-out time, while the average taxi-in time is similar or longer than that in the conventional choice; 2) if arrival aircraft are allowed to land over an active EAT, using the outboard runway to take off and the EAT as the taxi-out path would show advantages in both the average taxi-in time and the average taxi-out time; 3) if the EAT is operated under current FAA regulation, using the outboard runway to take off and the EAT as the taxi-out path could still show advantages in the average taxi-in time, while the average taxi-out time is the longest during high arrival period; 4) the results of the average fuel consumption indicate similar trends with the results of the average taxi time; 5) using the EATs could either eliminate the number of runway crossings or reduce it significantly; 6) the taxi times with the use of EATs are more stable against the increases in the load level in comparison with the conventional choice.</p> <p>Safety and human factor issues related to allowing arrival aircraft to land over an active EAT are discussed, as well as some future research topics. This study may encourage airport operators and researchers to explore how to make full use of existing EATs. This study, along with future cost-benefit analyses based on the results of this research, would be a valuable reference for airports that consider constructing EATs in the future. </p>