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SMEs Perception towards Adoption of Measurement System Analysis Strategy: A Case Study in Pump Manufacturing Industry
Every industry from large scale to small scale is nowadays seeking for their continuous improvement. It is necessary to compare the performance of the measurement processes with the standard systems. In a typical scenario, one of the two processes represents an attempt to improve the other process,...
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Published in: | IOP conference series. Materials Science and Engineering 2020-10, Vol.954 (1), p.12006 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Every industry from large scale to small scale is nowadays seeking for their continuous improvement. It is necessary to compare the performance of the measurement processes with the standard systems. In a typical scenario, one of the two processes represents an attempt to improve the other process, and one must determine if the attempt has been successful. Since repeatability and reproducibility (R&R) studies are often used to determine the adequacy of each measurement process separately, it is suitable to compare the results of these studies to determine if there is any difference in the variability of the two processes. In this paper, we consider R&R studies with two factors of parts and operators. We consider situations where the operator factor can be either random or fixed. Each operator makes repeated measurements on each part in a sample of process output and the different operators are used for each measurement process and the parts used for measurements are the same. A ratio commonly used to determine the adequacy of a single measurement process is used to compare the variability of the two measurement processes. Two statistical tests a result for differences in their ratio depends on their confidence intervals are proposed and compared using computer simulation. Finally, our study enables delegates to assess the performance of new and existing measurement systems. |
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ISSN: | 1757-8981 1757-899X |
DOI: | 10.1088/1757-899X/954/1/012006 |