How do I handle constraints (temperature/incubator space) in DOEHello!
I am setting up a screening design for several (6) factors in a fermentation. The factors include temp, agitation, % sugar, yeast inoculation level, initial pH, and time at 2 levels per factor. The thought was to use a 2^5-1 factorial to achieve resolution with main and 2-level interaction effects. However, we have a constraint of only 1 incubator can be used, so only 1 temperature can be set at a time. Seeing as time of the fermentation ranges from 15-30 days, it would be ideal to only run 2 groups (low and high temp). It is not ideal to set temperature as a hard-to-change factor and have more than 2 whole plots.
Does anyone have any suggestions in this scenario? Would it be unadvisable to generate a completely randomized factorial and run it in 2 groups by temperature?
DOERe: How do I handle constraints (temperature/incubator space) in DOEThere are options each with their own pros and cons.
You can do a split-plot design where temp is in the whole plot and you don't do replicates. While you will have no whole plot error as a basis for a statistical test, you can graphically evaluate the temperature effect to see whether it is of practical significance. While you compromise information regarding the whole plot, you increase the precision of the sub-plot.
Re: How do I handle constraints (temperature/incubator space) in DOESo you are saying to only have 2 whole plots (1 group of low temp and 1 group of high temp) and accept the very low power of temperature? Additionally, with the split plot method, it seems like JMP does not have the capability to add center points, is this true?
