Certified in Logistics, Transportation and Distribution (CLTD) 2026 – 400 Free Practice Questions to Pass the Exam

Historical standards are a valuable source of performance benchmarks derived from past records. They reflect data collected over time regarding productivity, efficiency, and various operational metrics. By analyzing historical performance, organizations can establish realistic expectations for current and future operations. This information helps in preparing performance goals that align with what has previously been achieved, thereby promoting informed decision-making and realistic planning.

In contrast, predetermined standards are often set without necessarily referencing historical data, instead relying on theoretical models or industry norms. Regression analysis is a statistical method used to predict outcomes based on past data but does not itself establish performance standards. Work sampling involves observing and recording activities to estimate performance over time, which is more about gaining insight into current operations rather than setting standards based on historical data.