Study of the impact of illumination level on attributative measurement system at an automotive industry enterprise

Abstract

Measurement System Analysis (MSA) is a critically important component of any quality improvement process and is formulated as an experimental and mathematical method for determining how much variation in the measurement process affects the measurement system, which in turn contains such data categories as: attributive or variable. Most of the problems of the measurement system arise precisely due to the assessment of attributive features, which are usually the result of subjective judgment (visual inspection). Since attribute measurement systems are often used in production processes, their evaluation is important for increasing reliability in the inspection process in order to determine the cause and source of the problem and in the future eliminate them and direct efforts to improve the process. The authors investigated the influence of working environment parameters, namely the level of illumination, on the degree of correctness of the assessment of defects in cable product samples. The degree of conformity of evaluators with the established requirements was also assessed. MINITAB and Q-DAS solara.MP software were used to analyze the research results. The authors formulated recommendations for improving the accuracy of the functioning of the attribute measurement system at an automotive industry enterprise.