Applications and Case Studies of Single-Server Retrieval Queuing Models with Batch Arrivals and Vacation

Abstract

Where batch arrivals and server vacations are common occurrences, single-server retrieval queuing models find extensive use in contemporary service and industrial systems. Applying batch arrivals and server vacation rules to single-server retrieval queuing models, this study examines their applicability and case examples. We investigate situations in a variety of domains, including healthcare, communications networks, library management systems, and warehouse operations, where service requests occur in batches and servers sometimes go down for maintenance, upgrades, or breakdowns. To comprehend the behavior of the system under different configurations, analytical methods are used, such as steady-state analysis and stochastic modeling. To demonstrate how these models enhance service efficiency, decrease wait times, maximize resource utilization, and control customer happiness, real-world case studies are given. When it comes to building queuing systems that are more durable and efficient, our results show how important batch arrival patterns and vacation mechanisms are. Also included are suggestions for possible additions and upgrades to the model in the future.