For both new product design and existing product improvement, a good approach to ensuring products meet their intended specifications is to study the process inputs and develop an equation that describes your process (y=f(x)). You can take those equations further by considering the uncertainty in the inputs – which results in a more realistic view of the response. Companion makes it easy for you to perform Monte Carlo simulation to predict process capability, and to identify the best strategy to determine optimal process settings using parameter optimization and sensitivity analysis.
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