When applying learning curves, which of the following is a common practice?

Using historical data to predict future performance is a common practice when applying learning curves. Learning curves are based on the premise that as a task is repeated, the time required to complete that task decreases due to the accumulation of experience and efficiency improvements. Historical data provides insights into how rapidly this improvement occurs based on past performance. By analyzing this data, engineers and managers can develop reliable forecasts for future projects, which can aid in planning and resource allocation.

The effective utilization of historical data allows organizations to understand trends in production efficiency, inform cost estimates, and enhance decision-making. This approach emphasizes the importance of leveraging existing information to improve future outcomes, which is a cornerstone of industrial and systems engineering practices.