2022
DOI: 10.3390/pr11010001
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Graphical Tools for Increasing the Effectiveness of Gage Repeatability and Reproducibility Analysis

Abstract: The article deals with the quality of measured data, which is necessary for effective quality management and successful implementation of the concept Industry 4.0 and the related concept Quality 4.0. The quality of the measured data is determined by the properties of the used measurement system, which are evaluated by measurement system analysis (MSA). Attention is paid to increasing the effectiveness of the repeatability and reproducibility analysis often used in practice. The importance of graphical tools of… Show more

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Cited by 8 publications
(4 citation statements)
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“…A production process is a set of activities of people, means of production, and physical processes that require one or more types of inputs and form an output that has value for the customer. These are activities using which the material is transformed into a product or an order into customer service [15].…”
Section: Methodsmentioning
confidence: 99%
“…A production process is a set of activities of people, means of production, and physical processes that require one or more types of inputs and form an output that has value for the customer. These are activities using which the material is transformed into a product or an order into customer service [15].…”
Section: Methodsmentioning
confidence: 99%
“…A production process is a set of activities of people, means of production, and physical processes that requires one or more types of input and forms an output that has value for the customer. These are activities by which the material is transformed into a product or an order into customer service [29,30].…”
Section: Case Studymentioning
confidence: 99%
“…The investigated food groups are also associated with the anthropometric indicators, such as body mass, body mass index, and waist-to-hip ratio, by use of the same qualitative multivariate tool as presented in the previous figure (Figure 3), principal component analysis. Such an approach greatly helps in understanding the observed problem [29], especially when the share that describes the set of all variations in the observed set is as high as it is in the case outlined in Figure 4, where the first and second main components describe almost 96.7% of all variations. As expected, the variables "Body mass" and "Body mass index" are positioned in the same coordinate quadrant.…”
Section: Relating Overweight/obesity With Eating Habitsmentioning
confidence: 99%