Experimental Design & Statistical Process Control

Every structured experiment begins with a precise engineering question. Rather than tuning one variable at a time, multiple potential factors (e.g., temperature, pressure, time) are selected to be tested simultaneously, acknowledging that physical mechanisms rarely operate in isolation.

Design of Experiments (DOE) provides a structured way to resolve factor interactions. By executing a structured design space, the process response surface can be mapped, revealing how variables interact to drive the outcome.

Statistical Process Control (SPC) helps distinguish common-cause variation from signals that warrant investigation. When a process runs over thousands of cycles, separating natural background variance from an assignable physical shift is critical to prevent over-adjustment. Use the simulator below to generate these process states in real-time.

The ultimate goal is a process decision. Whether adjusting a tool parameter based on an SPC rule violation, or selecting a new operating window derived from a DOE response surface, the decision is rooted in structured data rather than intuition.