Every factor operates at different levels or stages during a process. These levels are either determined so that the process adds value to the product and hence there is a value associated with it. As an example, a flight management over booking could be set at two levels, one which takes low levels of risk and other which takes high risk. The factor here is risk, the levels are low and high. When you bake a cake, the factor are temperature and time in the oven, you could keep at high temperature or low temperature and this can be done at several levels of time.

The objective in this experiment is to make a perfect cake. The factors that contribute value, like temperature and time are also the same factors that contribute to the issue or problem. Thus variation in output is contributed by mostly change of levels in these factors. Identifying these levels and finding their relation to the issue or failure is important in the Deep Analysis process.

Probablity of detection in NDT using Designed experiments
Qualimations supports Design of experiments (DOE) for validating probability of detection capability of non-destructive testing systems. DOE is a diagnostic tool providing detailed analysis of POD test data and guidance on establishing data distribution requirements and resolving test issues.

The objectives of the DOE application in NDT are as follows.

Assume you have 2 factors that affect your low output problem or your sales problem, then a properly designed experiment can answer some of these Questions.