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Setting Robust Process Specifications Using Design of Experiments and Monte Carlo Techniques

Setting Robust Process Specifications Using Design of Experiments and Monte Carlo Techniques

 

William D. Kappele, President – Objective DOE

Setting specifications on process parameters can be a difficult job. Setting robust specifications that won't need constant adjustment may seem almost impossible. This presentation will show how a combination of design of experiments and Monte Carlo techniques can be used to set robust process specifications in a straightforward, objective manner. In an example using published data for a rubber manufacturing process, you will see stages of the process, from designing an experiment for optimizing the process specifications to the use of a Monte Carlo simulator to study the responses to specification changes. You will see these results used to optimize the process specifications. You won't need to delve into the math – JMP will handle that. You will leave this presentation with a new paradigm for setting robust process parameter specifications.