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    Fuzzy Measurement System Analysis Approach: A Case Study
    (Kırıkkale Üniversitesi, 2022) Beylihan, Eda; Elevli, Sermin
    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.