The paper presents the possibilities of analyzing the measurement system repeatability and reproducibility (GRR) analysis results in more detail and their visualization. Based on real data, the influence of appraisers’ behavior on GRR analysis results is evaluated. The measured data obtained in the GRR study by three operators are analyzed in more detail for cases involving only two operators. Comparison of the behavior of individual operators is performed using Gaussian curves, which allow to evaluate graphically the repeatability of individual operators and the reproducibility of measurement system. This approach makes possible to visualize the GRR analysis results with regard to behavior of individual operators. Obtained results make possible to improve the interpretation of GRR analysis results and are useful for measurement system improvement.
The paper presents several approaches to gauge repeatability and reproducibility (GRR) analysis regarding non-replicable measurements. Measurement systems have to deal with processes in which, by the nature of the measured object or by the type of measurement itself, measurements are not repeatable. In these cases, each sample unit can be measured only once. Such situations are referred as nonreplicable measurement systems. The aim of the paper is to map out the current approaches being used in GRR analysis in various cases of non-replicable tests and compare each other in order to find out the suitable use of analysis application. Approaches used are subject to critical analysis so that its review can serve a useful base for analysis of different non-replicable tests. At present, it is desirable to bring the improving actions in order to obtain the results of high quality from such kind of measurements. Since different non-replicable tests can measure a different quality characteristic, it is valuable to bring the appropriate designs for various tests. Subsequently, this review will serve an outline how to proceed in analyzing the results obtained by non-replicable tests. Specifically, GRR analysis works with two known designs named as “Crossed” and “Nested” design, which statistical software normally use. Doubtfully, crossed design is suggested to use at certain cases and nested at other specific cases. This is assessed and improving actions designed.
The article presents the results of the assessment of the level of work safety, the level of modernity and the efficiency of the use of machines on the labelling and packaging line. The assessment of the level of occupational safety was made on the basis of an interview conducted with machine operators, by direct observation and analysis of historical data. The basis for assessing the level of modernity was the ABC technology method and the 5-stage Parker scale, while the OEE indicator was used to assess the level of efficiency of the use. An assessment of the level of safety, modernity, efficiency and other aspects such as cleanliness, completeness, maintenance, improvements for machines in the line with the use a scale of 0-5 was included and next, based on the validity index, the overall result was calculated. Modified McKinsey matrix was used to evaluate these factors and comparison the obtained results with other lines in the company. As a result of the conducted analyzes, it was pointed out that it is necessary to take improvement measures in the area of the worst-assessed factors.