Define "queue management" in the context of simulation applications.

Queue management involves the analysis and optimization of waiting lines with the goal of improving service efficiency. In the realm of simulation applications, this concept is crucial because it helps organizations understand how customers move through service processes and how they may be impacted by various factors, such as arrival rates, service rates, and queue discipline. By simulating different scenarios, one can identify bottlenecks and test strategies to enhance throughput and minimize wait times. The focus is on ensuring that the system operates smoothly and can meet demand without unnecessary delays.

In contrast, other options either provide a more limited perspective on queue management or address different aspects of operational efficiency. For example, while customer waiting times are an important metric, they are just a component of the wider analysis involved in queue management. Similarly, forecasting future demand pertains to predicting customer behavior and does not directly address the optimization of the queue itself. Organizing resources in workflow systems deals with broader operational management and resource allocation, which, while important, is not the same as specifically managing queues.