Statistical relevent sampling plan for powders, 1000-2000 gMy company recently purchased licenses for JMP and currently running 17.2.0. I have been tasked to write a PQ on a couple of our powder manufacturing processes. I have been told to use a statistically relevant sampling plan and one of the engineers pointed me to the JMP sampling plan add-in but I don't think its the right add-in to use for powders. It seems like a statistical plan for sampling items, e.g. bolts. I wanted to use a similar add-in for about 1000-2000g of powders. The JMP sampling add-in for variable sampling when used recommends 3 samples per lot and we double to 6 samples for assurance which may be good enough but the statistical justification isn't there. We usually tray dry in 1-6 trays depending on process and amount. Our current sampling practice for lot release testing is pulling one 3 g sample but this doesn't seem like a statistically relevant sample for uniformity. We don't want to change the procedure to add a mixing step and then pull a sample, and would rather prove that the powder is homogenous by pulling several random samples. i just don't know how many is relevant.
Reliability Analysis
