A study on measurement system analysis in the presence of indeterminacy

Abstract A study on the neutrosophic measurement system analysis model (NMSAM) is introduced in the paper. The proposed NMSAM helps the industrial engineers to see the capability of gauge in measuring the product in an uncertain environment. Various gauge capability evaluation criteria in the presence of indeterminacy is also discussed. The efficiency of the proposed NMSAM is given with the help of an industrial example. From the study, it is concluded that the proposed NMSAM performs better than the existing measurement system analysis model (MSAM).

[1]  Hadi Moheb-Alizadeh,et al.  Capability analysis of the variable measurement system with fuzzy data , 2014 .

[2]  JrJung Lyu,et al.  Gauge capability studies for attribute data , 2008, Qual. Reliab. Eng. Int..

[3]  Connie M. Borror,et al.  A Review of Methods for Measurement Systems Capability Analysis , 2003 .

[4]  Douglas C. Montgomery,et al.  Introduction to Statistical Quality Control , 1986 .

[5]  Uncertainty: two probabilities for the three states of neutrosophy , 2020 .

[6]  Mithun J. Sharma,et al.  Validating a destructive measurement system using Gauge R&R — a case study , 2019 .

[7]  Vahid Hajipour,et al.  A fuzzy expert system to increase accuracy and precision in measurement system analysis , 2013 .

[8]  Seyed Habib A. Rahmati,et al.  Fuzzy Gauge Capability (Cg and Cgk) through Buckley Approach , 2015 .

[9]  Abbas Al-Refaie,et al.  Evaluating measurement and process capabilities by GR&R with four quality measures , 2010 .

[10]  Sueli Fischer Beckert,et al.  Critical analysis of the acceptance criteria used in measurement systems evaluation , 2017 .

[11]  Matthias Asplund,et al.  Evaluating the measurement capability of a wheel profile measurement system by using GR&R , 2016 .

[12]  Jun Ye,et al.  Scale Effect and Anisotropy Analyzed for Neutrosophic Numbers of Rock Joint Roughness Coefficient Based on Neutrosophic Statistics , 2017, Symmetry.

[13]  A. A. Salama,et al.  Using Moving Averages To Pave The Neutrosophic Time Series , 2020, International Journal of Neutrosophic Science.

[14]  Ahmed Aboelfetouh,et al.  Utilising neutrosophic theory to solve transition difficulties of IoT-based enterprises , 2020, Enterp. Inf. Syst..

[15]  Seniye Ümit Oktay Fırat,et al.  An overview of capability evaluation of Measurement Systems and Gauge Repeatability and Reproducibility Studies , 2010 .

[16]  Jun Ye,et al.  Expressions of Rock Joint Roughness Coefficient Using Neutrosophic Interval Statistical Numbers , 2017, Symmetry.

[17]  M. Aslam.  Design of the Bartlett and Hartley tests for homogeneity of variances under indeterminacy environment , 2019, Journal of Taibah University for Science.

[18]  P. C. Tewari,et al.  On the fuzzy evaluation of measurement system analysis in a manufacturing and process industry environment: A comparative study , 2018 .

[19]  Mohamed Abdel-Basset,et al.  Cosine similarity measures of bipolar neutrosophic set for diagnosis of bipolar disorder diseases , 2019, Artif. Intell. Medicine.