{'fraction_non_alphanumeric': 0.012432012432012432, 'fraction_numerical': 0.0, 'mean_word_length': 5.44, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Modeling and Simulation of a Bank Queuing System

One of the major factors influencing the success of organizations in today's competitive world is to increase customer satisfaction through the improvement of service quality. In any service organization, managers are mostly concerned about the time that customers are required to wait for receiving their service. Banks in particular pay special attention to service quality as the most significant core competence. The queue length and waiting time are two significant factors which play important roles in customer perception about the quality of service in banks. Therefore, banks' managers are concerned about providing the optimal service configuration that can satisfy both customers and service providers. Among different approaches which are useful to evaluate different alternatives, simulation has proven its high capability in modeling and evaluating such situations. This study attempts to investigate and suggest the best possible configuration for a bank in Malaysia through constructing computer -- based simulation models. As the result of this study, the final suggested configuration shows improvement in terms of average utilization rate of counters and average waiting time that customers have to spend in the queue.