Throughput
Throughput refers to the rate at which a process, system, or network can complete work or deliver output within a specific timeframe. It is a measure of productivity, often expressed in units of work per unit of time (e.g., transactions per second, items per hour, or data bits per second). High throughput indicates efficient operation, while low throughput signifies bottlenecks or inefficiencies. This metric is crucial in various fields, including manufacturing, data processing, telecommunications, and healthcare, providing insights into performance and capacity.
Throughput meaning with examples
- The new assembly line significantly increased the factory's throughput, allowing them to produce 500 more units per hour. The updated machinery streamlined processes and reduced bottlenecks that had previously hampered production, leading to a noticeable boost in output and customer order fulfillment.
- Network administrators constantly monitor the throughput of their servers to ensure optimal performance. They analyzed bandwidth utilization and response times, tuning configurations to handle peak traffic periods without any data packet loss to maintain consistent user experiences.
- In a healthcare setting, the hospital is focused on increasing patient throughput by reducing waiting times for admissions and treatments. They implemented new scheduling software and streamlined the patient intake process, minimizing bottlenecks and improving overall efficiency.
- The research team is evaluating the throughput of different algorithms to determine which can process large datasets most quickly. This evaluation involves benchmarks and statistical analysis to ensure the selection of the most efficient method for data analysis and model creation.
- The development team optimized the code to improve the application's throughput, resulting in faster response times for users. Through code refactoring and database query optimization, they aimed to deliver quicker and more responsive user experiences even under heavy load.
