Fuzzy Measurement System Analysis Approach: A Case Study

Eda Beylihan; Sermin Elevli

doi:10.29137/umagd.986483

EN

Fuzzy Measurement System Analysis Approach: A Case Study

Abstract

In quality control, gathering relevant and timely data is essential to monitor and determine process variation. Since process data are obtained through measuring instruments that contain uncertainties, an ideal measurement system that has a statistical characteristic of zero error does not exist. Measurement System Analysis (MSA), one of the requirements of ISO/TS 16949, is an experimental and mathematical method of determining the variation arising from measurement systems rather than from a process or product. MSA is used to minimize the risk of wrong decisions regarding process control. Recently, the fuzzy approach has been utilized to cope with the vagueness of the obtained data in MSA studies. This paper analyzes the use of Fuzzy MSA in a company that manufactures automotive parts.

Keywords

Measurement System Analysis (MSA) , Fuzzy Approach , Fuzzy MSA , Gage Repeatability and Reproducibility (GR&R) , Number of Distinct Categories (NDC).

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Details

Primary Language

English

Subjects

Industrial Engineering

Journal Section

Research Article

Authors

Eda Beylihan ^*
0000-0002-6163-1637
Türkiye

Sermin Elevli
0000-0002-7712-5536
Türkiye

Publication Date

January 31, 2022

Submission Date

August 25, 2021

Acceptance Date

November 4, 2021

Published in Issue

Year 2022 Volume: 14 Number: 1

DOI

https://doi.org/10.29137/umagd.986483

IZ

https://izlik.org/JA23CP47ZE

APA

Beylihan, E., & Elevli, S. (2022). Fuzzy Measurement System Analysis Approach: A Case Study. International Journal of Engineering Research and Development, 14(1), 176-185. https://doi.org/10.29137/umagd.986483

Kırıkkale University, Faculty of Engineering and Natural Science, 71450 Yahşihan / Kırıkkale, Türkiye.

ijerad@kku.edu.tr

Fuzzy Measurement System Analysis Approach: A Case Study

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Fuzzy Measurement System Analysis Approach: A Case Study

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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