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SIMULATION MODELING FOR PASSENGER CHECK-IN, SECURITY,

AND BOARDING PROCESS IN AIRPORT PENANG, MALAYSIA

NURUL FAZLIN AMIRA BINTI MOHAMAD RAFI (K242/15)

SUPERVISOR: PN. AIMI ZULLIAYANA BT ROSLI

ABSTRACT

The rise in air travel has increased delays at airports, especially PROBLEM STATEMENT

at check-in, security, and boarding points. This study uses Arena As air travel increases globally, airports face growing

simulation modeling to analyze and improve passenger flow at challenges with long queues and delays at key service points

Penang International Airport (PEN). Using real data, a discrete- like check-in, security screening, and boarding. At Penang

event simulation was developed to measure key performance International Airport (PEN), these delays lead to passenger

indicators like waiting time, queue length, and resource dissatisfaction and operational inefficiency. Traditional

utilization. The results revealed that security and boarding are methods struggle to manage these complex systems

major bottlenecks, while self check-in reduces delays. The effectively. There is a need for a data-driven solution that

findings suggest simulation is a powerful tool for optimizing can model and improve passenger flow without disrupting

airport operations and improving passenger experience. real operations.

OBJECTIVES

(a) To analyze the average processing time for each stage of passenger movement at the airport. METHODOLOGY

(b) To identify the key factors contributing to delays and queue formation.

(c) To model passenger flow using simulation modeling in Arena Software.

IMPLEMENTATION

RESULT AND DISCUSSION

CONCLUSION AND RECOMMENDATION

To reduce delays at Penang
Simulation modeling using Arena

effectively identified bottlenecks in Airport, more staff and

The simulation results showed that the security and boarding processes are the main passenger flow at Penang resources should be allocated

boarding
and
security
at
sources of delay at Penang International Airport. On average, passengers spent over 15 International Airport. The study gates. Promoting self-check-in
revealed that security and boarding

hours waiting at security and more than 10 hours at the boarding gate. Although 150 processes are major contributors can ease congestion at manual

passengers entered the system, only 79 were able to complete the entire process within to long waiting times, while self- counters. Real-time queue

the simulation period, indicating significant inefficiencies. In contrast, self check-in check-in significantly reduces monitoring and regular use of

performed well, with shorter processing times and minimal queuing. These findings delays. The model provides a simulation tools are also

highlight the need for better resource allocation at critical service points and reliable way to evaluate airport recommended to support

demonstrate the value of simulation modeling in evaluating and improving airport efficiency and test improvements data-driven decision-making

operations. without disrupting real operations. and improve overall efficiency.