Improvement of the Quality of Work in a Biochemistry Laboratory via Measurement System Analysis

2016 ◽  
Vol 59 (5) ◽  
pp. 293-299
Author(s):  
Ming-Shu Chen
Keyword(s):  
Measurement System ◽  
System Analysis ◽  
Quality Of Work ◽  
Measurement System Analysis

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 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.

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.

scholarly journals Measurement System Analysis for Binary Inspection: Continuous Versus Dichotomous Measurands

2011 ◽  
Vol 43 (2) ◽  
pp. 99-112 ◽  
Author(s):  
Jeroen De Mast ◽  
Tashi P. Erdmann ◽  
Wessel N. Van Wieringen
Keyword(s):  
Measurement System ◽  
System Analysis ◽  
Measurement System Analysis

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.

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