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Title: Mass Measurement Process Error Determination And Control
Author: Jerry Everhart
Source: 1994 Measurement Science Conference
Year Published: 1994
Abstract: In todays competitive marketplace, it is imperative that systems of production and services be improved. This continuous improvement process requires the use of quality tools to understand and control systems of production and services. Furthermore, the application of quality tools requires that all processes be measured. Traditionally, product data analysis has been the primary area of focus with little emphasis placed on the quality of the data obtained. It is important to realize that knowledge of product quality can only result from quality data and quality data results from quality measurements (Figure 1). Product data contains the actual product value, its variation and measurement error. Measurement error includes, to some degree, instrument uncertainties, uncertainties to the measurement process, uncertainties due to entiomnental effects and operator uncertainties. Understanding, determining, and controlling measurement uncertainties is essential to improve systems of production and services. The required determination and control of product measurement uncertainties require the use of standards.

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