Simulation-Based Queuing Analysis of Bank Cash Counters: A Case Study on Service Efficiency and Cost Optimization

Abstract

This study presents a simulation-based analysis of cash transaction counters in a banking environment using queuing theory. The research aims to evaluate the performance of the current service system by analyzing key metrics such as customer waiting time, service time, and queue length. By applying queuing models and simulation techniques, the study investigates the optimal number of service counters required to achieve a balance between customer satisfaction and operational cost efficiency. The findings demonstrate that effective queuing simulation can significantly reduce customer waiting time while minimizing service costs, thereby enhancing the overall performance and efficiency of the bank’s operations.