Bryan

Hey Kristopher, Thanks for the reply to this post. Really appreciate it. These formula are definitely useful but in terms of scaling to 100+ grades & each grade operates with different conditions, it posts a challenge to replicate the formula. I am looking for something more automated and require less manual input, in terms of, calculating the standard deviation based on grade for that condition and use it as boundaries.

Dear All, Thanks for your interest to know more about boundaries. My plant has 100+ grades and each grade operates with different operating envelopes. Instead of calculating the boundaries as a scalar and having to input into SeeQ using the splice or zipwith or transform or CSV force scalar formula, I am looking for an easier way to create these boundaries. Success Criteria: Least complex formula Least computational power needed on SeeQ For the same grade, the boundaries have to be the same. Creating a condition that can recognize not just when the grade changes but also, when the same grade repeats again, the condition can recognize it and calculate my boundaries using both new and old data would be a success factor for this.