Showing posts with label DoE. Show all posts
Showing posts with label DoE. Show all posts

Monday, May 25, 2020

DoE Document Describing the Method

The document "Using Design of Experiment Methods for Screening and Optimization of Factors when Results are Qualitative" had been uploaded and published to the WEB through Google Docs 2 months ago.  It did not seemed to be indexed.  A new versions has been uploaded and can be viewed on Google Docs.  It can also be viewed on this LINK-> blog   . Both have the same content.  The links in the other post Wed. August 7, 2019 are the same as in this post. 8/28/20 links to Google Docs removed.

Wednesday, August 7, 2019

DoE, Great if Results aren't Qualitative and a Model Can Be Made

LINK-> (Using Design of Experiment Methods for Screening and Optimization of Quantitative Factors when Results are Qualitative) details the sequential use of traditional DOE (vertices generations and optimality selection) to generate a small set of trial experiments from the number of factors.  The best result from a set of experiments is used as the starting point for the next series of experiments.  It will eliminate unnecessary ones and optimize the others (screening and optimization) .  Its primary use is for situations when quantitative results are to difficult, impossible or time consuming to obtain or when a mathematical model of the system cannot be determined or it is not clear how to weight multiple responses.

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