A new approach for the capability analysis based on measurement system analysis: a case study for coal quality detection equipment

2016 ◽  
Vol 9 (1) ◽  
pp. 17 ◽  
Author(s):  
Qinghe Yuan ◽  
Xianhui Yin ◽  
Wei Yan ◽  
Yanyan Tan ◽  
Zhaojun Li
2013 ◽  
Vol 436 ◽  
pp. 295-302 ◽  
Author(s):  
Cristina Ile ◽  
Gheorghe Lazea

One source of variation in a process is generated by measurement. This paper is presenting a case study of Measurement System Analysis (MSA) in a wood industry process. It is necessary to do an analysis of the measurement system used in a company in order to be competitive and to gain the trust of the client. The aim of the paper is to show the steps done during a measurement system analysis and how to interpret the graphic results, but also the data generated by the Software. For this paper all the simulations were done in Minitab, but similar simulations can be done with other software programs.


Author(s):  
Ahmad Syafiq Ahmad Hazmi ◽  
Zulina Abd Maurad ◽  
Mohd Azmil Mohd Noor ◽  
Nik Siti Mariam Nek Mat Din ◽  
Zainab Idris

Author(s):  
Chittaranjan Sahay ◽  
Suhash Ghosh ◽  
Syed Mohammed Haja Mohideen

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.


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

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