Polyhedrika

Optimize both Yield and Cost with Minitab Design of Experiments Design of Experiments is a powerful technique to optimize process outputs in complex processes where multiple factors affect the outputs. When we want to optimize more than one output the problem becomes more complex. With this example we want to follow the steps, using Minitab, to optimize both process yield and cost by acting on 3 critical factors which have been identified by previous experiments. Process Improvement Steps DEFINE: The first step in process improvement is to map the current process as it is really happening with a  Value Stream Map . MEASURE: Then we need to  collect process data  in the line. MEASURE VARIATION: To understand the process dynamic behavior we will need statistically significant data to enable  simulation     CONTROL: The first data analysis is to check for stability with  Statistical Process Control MEASURE CAPABILITY: Once we insure the process is stable we want to know to what extent i