A Fuzzy Approach to Increase Accuracy and Precision in Measurement System Analysis

Due to widely practical application of quality techniques, many decisions in processes and equipment evaluation, control, and improvement are made every day in manufacturing, research, and development. Besides, the philosophy of measurement system analysis (MSA) depends on measurement error which hides true process capability. So it must be implemented prior to any process improvement activities to minimize the measurement errors. Since the capability of each quality system is related to the accuracy of its measurement system, this research developed a novel method for MSA. To increase accuracy and precision of MSA, analyzing measurement systems under fuzziness of its indices have been investigated. In order to obtain much more accurate indices, we develop a new method in measurement system analysis with fuzzy considerations which makes an important contribution within MSA literature. To do so, we propose fuzzy measurement system analysis (FMSA) by considering gauge repeatability and reproducibility (GR&R) index as a triangular fuzzy number. Finally, the applicability of the proposed method has been demonstrated within a case study in automotive parts industry.