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 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.

Application of Measurement System Analysis in Controlling the Gun Maintenance Quality

2012 ◽  
Vol 605-607 ◽  
pp. 775-779
Author(s):  
Meng Zhang ◽  
Shuai Wang ◽  
Guo De Wang ◽  
Wei Jiang
Keyword(s):  
Measurement System ◽  
System Analysis ◽  
Measurement System Analysis ◽  
Maintenance Process

The large amounts of data will be produced through the measurement in the gun maintenance process. So the performance of the measurement system will directly affect the quality of the data and the gun maintenance. Based on the situation, the application of measurement system analysis in controlling the gun maintenance quality was studied. Taking the measurement of the gun recuperator fluid amount for an example, the calculator of the gun fluid amount was analyzed. The result showed that it could effectively improve the quality to use the measurement system analysis in controlling the gun maintenance process.

scholarly journals Assessment of Human Capability, An Effective Tool to Obtain Confidence in the Visual Inspection Process

2018 ◽  
Vol 70 (1) ◽  
pp. 1-6
Author(s):  
Carmen Simion
Keyword(s):  
Quality Management ◽  
Measurement System ◽  
Management System ◽  
Visual Inspection ◽  
System Analysis ◽  
Quality Management System ◽  
Visual Aids ◽  
Inspection Process ◽  
Set Up ◽  
Local Company

Abstract To consistently produce high quality products, a quality management system must be practically implemented in every organization. One of its core instrument is to ensure the capability of the measurement systems, which are the basis for decisions regarding the behavior of the product critical quality characteristics. Base on requirements of the quality management system, a Measurement System Analysis should be conducted for all measurement system which are mentioned in the organization quality plan. Most problematic measurement system issues come from measuring discrete data, which are usually the result of human judgment (subjective decision) when categorizing products such as good/bad (visual inspection). It was the aim of this paper to address such an issue presenting a case study made in a local company from the Sibiu region, in order to evaluate how capable are the appraisers to visually inspect steel chains. The results were analyzed using MINITAB statistical software with its module called Attribute Agreement Analysis. The conclusion was that the inspection process must be improved by operator training, developing visual aids/boundary samples, establishing standards and set-up procedures.

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.

scholarly journals Measurement System Analysis and System Thinking in Six Sigma

2020 ◽  
Vol 9 (1) ◽  
pp. 44-62
Author(s):  
Brian J. Galli
Keyword(s):  
Measurement System ◽  
Six Sigma ◽  
System Analysis ◽  
Design Science ◽  
System Thinking ◽  
Assessment Model ◽  
Success Rates ◽  
Reliable Measurement ◽  
Measurement Systems ◽  
Measurement System Analysis

This article investigated measurement system analysis and system thinking in Six Sigma, as well as the factors that influence these actions. If the measurement system being used to accumulate data from the process delivers dependable and accurate results, the measurement system analysis regulates it. Process improvement initiatives can be derailed by faulty measurement systems. Also, managers who have read faulty data can be misled into making wrong decisions. To collect trustworthy data, a reliable measurement system is established with this process. A method to assess an organization as a system and interpret its practices as a whole with Six Sigma is system thinking. Also, fixing a system as a whole helps to identify the real causes of issues and to know where to address them. This article addressed the contribution of these two methods to an overall success of an organization operating Six Sigma. The most current variables, concepts, and models were studied within operations and project management. By using a design-science-investigate strategy, this study approved of a valuable growth reveal for reasonable and hypothetical application. This study allowed us to generate a fitting assessment model that will fill the research void. Also, this study contributed to the engineering field with improved project success rates and team communication.

Measurement system analysis on the external standard using an azeotropic mixture of ethylene glycol and detailed uncertainties

2021 ◽  
Author(s):  
Ahmad Syafiq Ahmad Hazmi ◽  
Zulina Abd Maurad ◽  
Mohd Azmil Mohd Noor ◽  
Nik Siti Mariam Nek Mat Din ◽  
Zainab Idris
Keyword(s):  
Ethylene Glycol ◽  
Measurement System ◽  
System Analysis ◽  
Azeotropic Mixture ◽  
Measurement System Analysis ◽  
External Standard

Effects of Within Part Variation on Measurement System Analysis

2012 ◽  
Author(s):  
Chittaranjan Sahay ◽  
Suhash Ghosh ◽  
Syed Mohammed Haja Mohideen
Keyword(s):  
Detailed Analysis ◽  
Measurement System ◽  
System Analysis ◽  
Primary Reason ◽  
Improved Method ◽  
System Error ◽  
Measurement System Analysis ◽  
Sources Of Variation ◽  
System Part ◽  
Part Variation

Inherent variation of the measurement system, part-to-part variation and variation arising due to the operator are considered to be the most common sources of variation in a measurement system analysis (MSA). Often errors due to within part variation are overlooked, or even worse, are assumed to be from the inherent variation of the measurement system. Understanding the sources of variation in a measurement system is important for all measurement applications. It becomes even more critical when the part used to evaluate a gage has a significant within part variation. This is an important source of measurement system error that the current procedures followed for MSA studies do not clearly or adequately address. The primary reason for this is a lack of awareness, and there are no clear guidelines on conducting a MSA study under these circumstances. A detailed analysis of the effects of within part variation on MSA is described in this paper. An improved method for conducting the MSA under these circumstances is also presented. This improved and more effective MSA takes all sources of variations into consideration.

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