scholarly journals Comparison of Approaches to Gauge Repeatability and Reproducibility Analysis

2018 ◽  
Vol 183 ◽  
pp. 03015 ◽  
Author(s):  
Pavlína Mikulová ◽  
Jiří Plura
Keyword(s):  
Decision Making ◽  
Measurement System ◽  
System Analysis ◽  
Measurement Process ◽  
Good Basis ◽  
Process Improvements ◽  
Measurement Systems ◽  
New Approaches ◽  
Measurement System Analysis ◽  
Repeatability And Reproducibility

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.

Approaches for Measurement System Analysis Considering Randomness and Fuzziness

2020 ◽  
Vol 9 (2) ◽  
pp. 98-131
Author(s):  
Liang-Hsuan Chen ◽  
Chia-Jung Chang
Keyword(s):  
Measurement System ◽  
System Analysis ◽  
Sum Of Squares ◽  
Measurement System Analysis ◽  
Repeatability And Reproducibility ◽  
Packaging Industry ◽  
Relationship Of ◽  
Semiconductor Packaging ◽  
The Relationship ◽  
Fuzzy Random

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.

scholarly journals Leveraging Measurement System Analysis (MSA) to Improve Library Assessment: The Attribute Gage R&R

2009 ◽  
Vol 70 (6) ◽  
pp. 568-577 ◽  
Author(s):  
Sarah Anne Murphy ◽  
Sherry Engle Moeller ◽  
Jessica R. Page ◽  
Judith Cerqua ◽  
Mark Boarman
Keyword(s):  
Measurement System ◽  
System Analysis ◽  
Ohio State University ◽  
Assessment System ◽  
State University ◽  
Measurement Systems ◽  
Library Assessment ◽  
Measurement System Analysis ◽  
Ideal Tool ◽  
The Ohio State University

Measurement System Analysis (MSA) provides decision makers with a useful suite of tools for understanding whether variation should be attributed to an assessment system itself or the actual item or program being assessed. This paper introduces the Attribute Gage R&R, using a study of The Ohio State University Libraries’ mechanism for measuring quality in e-mail reference transactions as an example. An ideal tool for examining assessment programs that require subjective interpretation, the Attribute Gage R&R can assist library organizations in understanding their processes and validating the utility of data collected through their measurement systems.

scholarly journals Measurement System Analyses – Gauge Repeatability and Reproducibility Methods

2018 ◽  
Vol 18 (1) ◽  
pp. 20-27 ◽  
Author(s):  
Lenka Cepova ◽  
Andrea Kovacikova ◽  
Robert Cep ◽  
Pavel Klaput ◽  
Ondrej Mizera
Keyword(s):  
Measurement System ◽  
Automotive Industry ◽  
Manufacturing Industry ◽  
System Analysis ◽  
Advantages And Disadvantages ◽  
Measurement System Analysis ◽  
System Analysis Approach ◽  
Repeatability And Reproducibility ◽  
Plastic Parts ◽  
Part Variation

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.

The Application of Measurement System Analysis in the Experimental Platform of Large Electronic Current

2010 ◽  
Vol 426-427 ◽  
pp. 55-59 ◽  
Author(s):  
H.Z. Wu ◽  
X.J. Wei ◽  
W.H. Li
Keyword(s):  
Quality Control ◽  
Measurement System ◽  
System Analysis ◽  
Experimental Platform ◽  
Methods Of Analysis ◽  
Measurement System Analysis ◽  
Electronic Current ◽  
Bias Stability ◽  
Repeatability And Reproducibility

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.

scholarly journals Measurement system analysis by attribute, an effective tool to ensure the quality of the visual inspection process within an organization

2019 ◽  
Vol 290 ◽  
pp. 05004
Author(s):  
Carmen Simion
Keyword(s):  
Quality Assurance ◽  
Measurement System ◽  
Visual Inspection ◽  
System Analysis ◽  
Measurement Data ◽  
Quality Assurance Program ◽  
Measurement Systems ◽  
Measurement System Analysis ◽  
Inspection Process

A successful quality assurance program in any organization needs good measurement systems. The concept of measurement system refers to the manpower, machines, materials, methods and mother nature involved in obtaining measurements. Measurement system analysis (MSA) is a set of procedures which are used to determine the amount of variation due to the measurement system and if the measurement data are valid. Most problematic measurement system issues come when the results of a measurement system are qualitative values such as “pass” or “fail” (attribute data) rather than quantitative values (variable data). Because in industry many measurement systems deal with qualitative data, the assessment of the visual inspection process is a contemporary approach for quality assurance in most manufacturing organizations. The aim of this paper is to apply the MSA attribute study in a local company from the Sibiu region supplying products for automotive industry, to ensure the quality of the visual inspection process for one of their parts, respectively the exterior lighting projectors (Day Running Light, DRLs). The output data were analyzed using Minitab software. The conclusion was that the visual inspection process must be improved by appraisers training and developing panel with samples for the most common defect types of DRLs.

scholarly journals Measurement System Reliability Assessment

2015 ◽  
Vol 51 (2) ◽  
pp. 31-40
Author(s):  
Ryszard Kłos
Keyword(s):  
Decision Making ◽  
Measurement System ◽  
System Reliability ◽  
Reliability Assessment ◽  
Measurement Process ◽  
Reliable Information ◽  
Measurement Systems ◽  
Problem Situations ◽  
Rapid Changes

Abstract Decision-making in problem situations is based on up-to-date and reliable information. A great deal of information is subject to rapid changes, hence it may be outdated or manipulated and enforce erroneous decisions. It is crucial to have the possibility to assess the obtained information. In order to ensure its reliability it is best to obtain it with an own measurement process. In such a case, conducting assessment of measurement system reliability seems to be crucial. The article describes general approach to assessing reliability of measurement systems.

Measurement System Analysis of VS Lite

2014 ◽  
Vol 680 ◽  
pp. 447-450
Author(s):  
Ghazirah Mustapha ◽  
M. Saiful Aizat Shafie ◽  
Nur Hayati M. Yahaya ◽  
Jamaluddin Mahmud
Keyword(s):  
Measurement Error ◽  
Total Variation ◽  
Measurement System ◽  
System Analysis ◽  
Measurement System Analysis ◽  
Accuracy Of Measurement ◽  
Repeatability And Reproducibility ◽  
Analysis System ◽  
Replicate Measurements ◽  
User Friendly

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%.

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