Your Monte Carlo Analysis Results Give Actionable Information - How Do You Share and Use That Data in a Meaningful Way?
Monte Carlo Analysis, using Monte Carlo simulation with tolerance variables and assembly processes, provides a lot of powerful outputs. Determining percent out of specification, critical features to quality, contributing parts and tolerances to out-of-spec scenarios, and more. These outputs can be used to reduce non-conformance in production, and thereby reduce scrap, rework and overall manufacturing costs.
As anyone who has worked in the simulation environment knows, that's the goal. However, getting there isn't always easy. Most teams responsible for creating simulations then provide that data to managers, quality professionals, plant managers, designers and other teams that have to use that data to make changes and decisions.