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Measurement system analysis combined with Shewhart's approach
被引:13
作者
:
Diering, Magdalena
论文数:
0
引用数:
0
h-index:
0
机构:
Poznan University of Technology, Piotrowo 3, Poznań,60-965, Poland
Poznan University of Technology, Piotrowo 3, Poznań,60-965, Poland
Diering, Magdalena
[
1
]
Hamrol, Adam
论文数:
0
引用数:
0
h-index:
0
机构:
Poznan University of Technology, Piotrowo 3, Poznań,60-965, Poland
Poznan University of Technology, Piotrowo 3, Poznań,60-965, Poland
Hamrol, Adam
[
1
]
Kujawińska, Agnieszka
论文数:
0
引用数:
0
h-index:
0
机构:
Poznan University of Technology, Piotrowo 3, Poznań,60-965, Poland
Poznan University of Technology, Piotrowo 3, Poznań,60-965, Poland
Kujawińska, Agnieszka
[
1
]
机构
:
[1]
Poznan University of Technology, Piotrowo 3, Poznań,60-965, Poland
来源
:
Key Engineering Materials
|
2015年
/ 637卷
关键词
:
Flowcharting - Statistical process control;
D O I
:
10.4028/www.scientific.net/KEM.637.7
中图分类号
:
学科分类号
:
摘要
:
The paper presents new procedure of methodology for statistical assessment of measurement systems variation (methodology known in the literature as Measurement Systems Analysis, MSA). This procedure allows for calculation and monitoring in real time (that is on-line) of measurement system (MS) characteristics which determine its usability for manufacturing process control. The presented solution pointed out the gap in process control, which consists in lack of methods for monitoring measurement processes in the on-line way. Their key point consists of taking samples that are also needed for the process control chart for the needs of the MSA method. This means that the samples are taken directly from the production line and during the production process. The method is combined with the standard procedure of statistical process control (SPC) with the use of process control charts. It is based on two control charts. The first one is called AD-chart (Average Difference chart) and it allows to estimate the variation between the operators and stability of the monitored measurement system. The second control chart illustrates the %R&R index (Repeatability and Reproducibility) and allows to monitor the MS capability. The paper also presents authors' proposal of guidelines about the reference value for the %R&R index calculation and assessment. Recommendations and guidelines for choosing the reference value are based on two criteria: information about sample and manufacturing process variation and the purpose of using MS (product or process control). © (2015) Trans Tech Publications, Switzerland.
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页码:7 / 11
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