Measurement system analysis of viscosity: a Six-Sigma gage repeatability and reproducibility analysis

Author(s):  
Khalid Alkhaledi ◽  
Doraid Dalalah
2020 ◽  
Vol 9 (2) ◽  
pp. 98-131
Author(s):  
Liang-Hsuan Chen ◽  
Chia-Jung Chang

For some quality inspection practices, subjective judgements based on the inspectors' experience and knowledge, such as visual inspection, may be required for some particular quality characteristics. This kind of measurement system, including its associated randomness and fuzziness, should be assessed by Measurement system analysis (MSA) before its application. For such purpose, this article represents observations with randomness and fuzziness from MSAs as fuzzy random variables, and then two pairs of descriptive parameters, i.e., expected value and variance, are derived. Then, the relationship of the total sum of squares of factors is proven to hold, so that fuzzy analysis of variance (FANOVA) in terms of gauge repeatability and reproducibility can be developed. The proposed approach has the advantage that FANOVA is developed based on the relationship of the total sum of squares of factors, considering randomness and fuzziness. A real case in the semiconductor packaging industry is used to demonstrate the applicability of the proposed approaches to MSA.


2018 ◽  
Vol 18 (1) ◽  
pp. 20-27 ◽  
Author(s):  
Lenka Cepova ◽  
Andrea Kovacikova ◽  
Robert Cep ◽  
Pavel Klaput ◽  
Ondrej Mizera

Abstract The submitted article focuses on a detailed explanation of the average and range method (Automotive Industry Action Group, Measurement System Analysis approach) and of the honest Gauge Repeatability and Reproducibility method (Evaluating the Measurement Process approach). The measured data (thickness of plastic parts) were evaluated by both methods and their results were compared on the basis of numerical evaluation. Both methods were additionally compared and their advantages and disadvantages were discussed. One difference between both methods is the calculation of variation components. The AIAG method calculates the variation components based on standard deviation (then a sum of variation components does not give 100 %) and the honest GRR study calculates the variation components based on variance, where the sum of all variation components (part to part variation, EV & AV) gives the total variation of 100 %. Acceptance of both methods among the professional society, future use, and acceptance by manufacturing industry were also discussed. Nowadays, the AIAG is the leading method in the industry.


2010 ◽  
Vol 426-427 ◽  
pp. 55-59 ◽  
Author(s):  
H.Z. Wu ◽  
X.J. Wei ◽  
W.H. Li

The article discusses the application of MSA in the process of quality control of production, under the relevant requirements in ISO/TS16949. With DWST experimental platform of large electronic current as an example, it analyzes the data achievement, the application of statistics and the methods of analysis report in the evaluation of variations on bias, stability, linearity, repeatability and reproducibility. The research gives a guide to the effective implement of MSA in the production and manufacture.


2014 ◽  
Vol 680 ◽  
pp. 447-450
Author(s):  
Ghazirah Mustapha ◽  
M. Saiful Aizat Shafie ◽  
Nur Hayati M. Yahaya ◽  
Jamaluddin Mahmud

Virtual Sensei Lite (VS Lite) is an inexpensive user-friendly motion analysis system. As an alternative motion capture system, it is a must for VS Lite’s user to assess the accuracy of the measurement system capability. To date, such analysis to observe the reliability and accuracy of VS Lite has not been reported. Therefore, this study proposes a procedure for assessing the accuracy and capability of the Virtual Sensei Lite using ANOVA Gage Repeatability and Reproducibility (Gage R&R) designed experiments. In this procedure, a gage R&R study is conducted to obtain replicate measurements on nine parts by three operators. The total variation due to measurement error is then observed to identify the accuracy of measurement. The study able to demonstrate on the accuracy of VS Lite as the value of total variation due to measurement error is within 10%-30%.


2018 ◽  
Vol 183 ◽  
pp. 03015 ◽  
Author(s):  
Pavlína Mikulová ◽  
Jiří Plura

The paper presents approaches to Gauge Repeatability and Reproducibility (GRR) analysis. The aim of the paper is to compare three methods of GRR analysis - A&R method, ANOVA and EMP III. The first part gives insight to use of Measurement System Analysis (MSA) since properly planned and executed measurement systems can provide a good basis for decision making in companies. One of the new approaches will be presented that is different from the others described by AIAG or VDA guide. Compared to known A&R method and ANOVA, EMP III interpret the results in more detail. Beyond the information about variability of measurement process, the approach provides other useful parameters as attenuation of process signals, change of detecting error shift and an ability to track process improvements. Wider use of the results is illustrated by an example of measuring the dimensions of fasteners.


2019 ◽  
pp. 54-60
Author(s):  
Roland Szabo ◽  
Aurel Gontean

This paper presents an optical distance evaluation solution, for a sun tracker robotic arm, with the help of Six Sigma. With the help of statistical tools any measurement system can be evaluated and a measurement system analysis (MSA) can be easily made. Like every measurement system, optical distance measurement can have errors. Six Sigma tools can evaluate the measurement system and can give useful data about its accuracy. Sometimes measurement system evaluation is done twice. First, initial tests are done, after some fine tuning and error correction is performed, and finally a repeated test is done, to show that the measurement errors were corrected.


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