Goodman Models

Goodman models are statistical tools used in quality control to assess the variability of a process or product measurement over time. They help determine if differences in measurements are due to actual changes or just random fluctuations, making the process more predictable and stable. Essentially, Goodman models analyze data to distinguish between common causes (natural variation) and special causes (unusual factors), enabling businesses to maintain consistent quality and identify when corrective actions are needed. They are valuable in manufacturing and engineering for improving product reliability and process efficiency.