Queueing models are primarily used for what purpose?

Queueing models are primarily used for predicting process performance and allocating resources because they help in understanding how systems handle demand, particularly in service-oriented or production environments. These models analyze the flow of items or people through a queue, allowing organizations to identify bottlenecks, wait times, and service efficiencies. This information aids in forecasting the capacity needed to meet varying levels of demand, ultimately guiding decisions related to staffing, scheduling, and resource allocation.

By using queueing theory, managers can simulate different scenarios to determine optimal service levels and improve overall operational efficiency. This predictive capability is crucial for businesses that deal with fluctuating customer demand, as it enables them to ensure timely service without over-committing resources, which could lead to increased costs or reduced service quality.