Abstract:

In order to reduce the waiting time of customers in the current banking system, an Agent-based simulation model of banking queuing system was developed. The customer, queue machine, server and automatic teller machine were abstracted as different Agents. The situation of system was simulated through the interaction among Agents. A proposed algorithm for adjusting queues dynamically was implemented in the netlogo platform. The experiment data and analysis showed that the model could simulate the real operation of banking queuing system, rationally use the existing resources, reduce the average waiting time of customer and enhance customer satisfaction.

Key words:  Agent based simulation, banking queuing system, scheduling algorithm