The primary objective of queuing theory is to analyze and optimize waiting lines or queues to improve the efficiency and effectiveness of service systems. It seeks to understand various factors influencing queue behavior, such as arrival rates, service rates, and the number of servers, in order to minimize waiting times, reduce congestion, and enhance customer satisfaction. By modeling these systems mathematically, queuing theory provides insights into the trade-offs between resources and service levels, enabling organizations to make informed decisions about resource allocation, system design, and operational strategies. Ultimately, the goal is to create a balance between service efficiency and customer experience in various contexts, such as telecommunications, manufacturing, and healthcare.