Objective
The objective of this simulation analysis is to operate the security checkpoint in the most effective manner. The most
effective manner is defined as operation with the minimum average individual time in the system with the minimum
number of personnel while maintaining the current level of security. Though the checkpoint operates throughout the
day, effective operation is critical during periods of high arrival and departure activity. These periods are a result of
the hub-and-spoke system used by the major airline in the airport involved in this study. These periods of high
activity dictate the use of a terminating system simulation approach. Given the objective of this analysis, the
following questions need to be addressed:
1. For a given number of security personnel, which configuration will result in the minimum average
customer service time?
2. If the checkpoint experiences an equipment malfunction, how should the personnel be reassigned to
result in minimum average customer system time?
Data Collection and Fitting
A total of eight data distributions were collected and fitted. These included the interarrival times of customer
batches, the customer arrival batch size, ticket-checking service time, travel time from the ticket checker to the metal
detector, whether or not the customer has luggage, the x-ray service time, the metal detector service time, and the
customer metal detector failure rate. The followings are the definitions of each data distribution collected.
1. Interarrival Times of Customers
The interarrival times of customers were obtained by observing the interval between the arrival of one batch of
customers and the arrival of the next batch of customers. Arrival was defined as either the physical location within
arm’s length distance of the ticket checker or cessation of forward movement upon reaching the end of the ticketchecking
queue.
2. Customer Arrival Batch Size
A batch of customers consisted of one or more individuals who arrived at the first point of the system
simultaneously. Batch sizes larger than one typically occurred with husband and wife passengers, families of
passengers, groups of businessmen, and air crew. The size of the arrival batch was recorded with the batch
interarrival time.
3. Ticket-Checking Service Time
This period begins with the arrival of the customer within arm’s reach of the ticket checker. The service time
consists of checking either the ticket or identification of the customer for validity. The ticket-checking service time
ends when the customer begins forward movement and allows the ticket checker to service the next customer.
Objective
The objective of this simulation analysis is to operate the security checkpoint in the most effective manner. The most
effective manner is defined as operation with the minimum average individual time in the system with the minimum
number of personnel while maintaining the current level of security. Though the checkpoint operates throughout the
day, effective operation is critical during periods of high arrival and departure activity. These periods are a result of
the hub-and-spoke system used by the major airline in the airport involved in this study. These periods of high
activity dictate the use of a terminating system simulation approach. Given the objective of this analysis, the
following questions need to be addressed:
1. For a given number of security personnel, which configuration will result in the minimum average
customer service time?
2. If the checkpoint experiences an equipment malfunction, how should the personnel be reassigned to
result in minimum average customer system time?
Data Collection and Fitting
A total of eight data distributions were collected and fitted. These included the interarrival times of customer
batches, the customer arrival batch size, ticket-checking service time, travel time from the ticket checker to the metal
detector, whether or not the customer has luggage, the x-ray service time, the metal detector service time, and the
customer metal detector failure rate. The followings are the definitions of each data distribution collected.
1. Interarrival Times of Customers
The interarrival times of customers were obtained by observing the interval between the arrival of one batch of
customers and the arrival of the next batch of customers. Arrival was defined as either the physical location within
arm’s length distance of the ticket checker or cessation of forward movement upon reaching the end of the ticketchecking
queue.
2. Customer Arrival Batch Size
A batch of customers consisted of one or more individuals who arrived at the first point of the system
simultaneously. Batch sizes larger than one typically occurred with husband and wife passengers, families of
passengers, groups of businessmen, and air crew. The size of the arrival batch was recorded with the batch
interarrival time.
3. Ticket-Checking Service Time
This period begins with the arrival of the customer within arm’s reach of the ticket checker. The service time
consists of checking either the ticket or identification of the customer for validity. The ticket-checking service time
ends when the customer begins forward movement and allows the ticket checker to service the next customer.
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