processstøy

Process noise, often referred to as process variability or inherent variability, is a fundamental concept in quality management and manufacturing. It represents the natural, unavoidable fluctuations that occur during any production or service process. These variations are not due to errors, defects, or external factors but are an intrinsic characteristic of the process itself.

Imagine a machine that consistently produces bolts. Even with the most precise calibration, each bolt produced will have a slightly different length or diameter. This small, inherent difference is process noise. It's the consequence of countless microscopic factors interacting in complex ways, such as tiny vibrations, temperature fluctuations, or material inconsistencies.

Understanding process noise is crucial for effective process control and improvement. By acknowledging that some level of variation is natural, organizations can focus their efforts on identifying and reducing *excessive* or *assignable* causes of variation, which are distinct from inherent process noise. Statistical process control (SPC) tools are commonly used to distinguish between common cause variation (process noise) and special cause variation (assignable causes). The goal is not to eliminate process noise entirely, which is often impossible, but to minimize its impact and ensure that the process consistently operates within acceptable specifications. Reducing process noise leads to more predictable outcomes, higher quality products or services, and increased efficiency.