A factory can spend weeks setting the right production target and still have no reliable way to know whether it is meeting it.

Industrial engineers conduct time studies. Consultants examine the line. Teams break down each operation and work hard to establish a fair standard.

Then actual production is recorded in a logbook at the end of the shift.

The comparison inherits every missing entry and estimate. An MES that relies on the same manual entry inherits the same weakness. A counter that someone must press still depends on someone remembering.

A standard describes what should happen. Its practical value comes from comparing it with what actually happens. If the actual is unreliable, a precise standard tells you very little about performance.

This limits the value of a time study after a line is set up. The target remains in the file, while the process changes around it.

Continuous cycle time monitoring keeps the study useful. Supervisors can see which manual processes fall short, investigate the cause, make a change, and check whether it helped. When the work changes enough, the team can revisit the standard too.

The loop is straightforward: study the work, set the standard, measure the actual, improve the process, and repeat.

We put a lot of effort into getting the target right. Measuring what happens deserves the same care.

Written by Vivaan Baid, co-founder, Optifye.