In a polymer production process, there are a lot of manipulated variables(MV) such as temperature ,pressure , or level of reactor that affect the quality of my polymer product.
However, it usually has "dead-time" problems in a process especially when the scale of the system is quite large.
I've already collected empirical data from the process for 6 months. Now, I want to find out the "dead-time" of each MV that has significantly importance on the final quality.
For instance, if I increase the temperature for 1 degree C, after 1 hour, we'll see the viscosity of polymer also increase for 100 cP. The time 1 hour is the answer I'd like to figure out.
How should I do if I can only analyze the empirical data on hand without doing experiment on the production lines?