Fuzzy-based analysis of process capability for assembly quality assessment in mechanical assemblies

References

• Adragna, PA, et al., 2006. Inertial tolerancing and capability indices in an assembly production, Revue Internationale d'Ingenierie Numerique 2 (1–2) (2006), pp. 71–88.
   Google Scholar
• Buckley, JJ, 2003. Fuzzy probabilities: New approach and application. Heidelberg: Physica-Verlag; 2003.
   Google Scholar
• Buckley, JJ, 2005. Simulating fuzzy systems. Berlin: Verlag/Heidelberg: Springer; 2005.
   Google Scholar
• Celikyilmaz, A, and Türksen, IB, 2009. Modeling uncertainty with fuzzy logic with recent theory and applications. Berlin: Springer; 2009.
   Google Scholar
• Chan, LK, Cheng, SW, and Spiring, FA, 1988. A new measure of process capability: Cpm, Journal of Quality Technology 20 (3) (1988), pp. 162–175.
   Web of Science ®Google Scholar
• Chen, KS, Huang, ML, and Li, RK, 2001. Process capability analysis for an entire product, International Journal of Production Research 39 (17) (2001), pp. 4077–4087.
   Web of Science ®Google Scholar
• Chen, K.S., Huang, M.L. and Hung, Y.H., 2008. Process capability analysis chart with the application of Cpm. International Journal of Production Research, 46 (16), August, 4483–4499.
   Google Scholar
• Fortini, ET, 1967. Dimensioning for interchangeable manufacture. USA: Industrial Press; 1967.
   Google Scholar
• Greenwood, WH, and Chase, KW, 1988. Worst case tolerance analysis with nonlinear problems, Journal of Engineering for Industry – Transactions of the ASME 110 (3) (1988), pp. 232–235.
   Web of Science ®Google Scholar
• Greenwood, WH, and Chase, KW, 1990. Root sum squares tolerance analysis with nonlinear problems, Journal of Engineering for Industry – Transactions of the ASME 112 (4) (1990), pp. 382–384.
   Web of Science ®Google Scholar
• Hsiang, T.C. and Taguchi, G., 1985. A tutorial on quality control and assurance – the Taguchi methods. ASA annual meeting, Las Vegas, Nevada, USA.
   Google Scholar
• Jeang, A, 2010. Optimal process capability analysis for process design, International Journal of Production Research 48 (4) (2010), pp. 957–989.
   Web of Science ®Google Scholar
• Kane, VE, 1986. Process capability indices, Journal of Quality Technology 18 (1) (1986), pp. 41–52.
   Web of Science ®Google Scholar
• Kaya, I, and Kahraman, C, 2010. Fuzzy process capability analyses with fuzzy normal distribution, Expert Systems with Applications 37 (7) (2010), pp. 5390–5403.
   Web of Science ®Google Scholar
• Kaya, I, and Kahraman, C, 2010. Development of fuzzy process accuracy index for decision making problems, Information Sciences 180 (6) (2010), pp. 861–872.
   Web of Science ®Google Scholar
• Khodaygan, S, and Movahhedy, MR, 2010. Tolerance analysis of assemblies with asymmetric tolerances by unified uncertainty – accumulation model based on fuzzy logic, International Journal Advanced Manufacturing Technology 53 (5–8) (2010), pp. 777–788.
   Web of Science ®Google Scholar
• Khodaygan, S, Movahhedy, MR, and Saadat Fomani, M, 2010. Fuzzy – small degrees of freedom representation of linear and angular variations in mechanical assemblies for tolerance analysis and allocation, Journal of Mechanism and Machine Theory 46 (4) (2010), pp. 558–573.
   Web of Science ®Google Scholar
• Lee, HT, 2001. Cpk index estimation using fuzzy numbers, European Journal of Operational Research 129 (3) (2001), pp. 683–688.
   Web of Science ®Google Scholar
• Li, HX, and Yen, VC, 1995. Fuzzy sets and fuzzy decision-making. Boca Raton: CRC Press; 1995.
   Google Scholar
• Lin, Sh., Wang, H, and Zhang, C, 1997. "Optimal tolerance design for integrated design, manufactured design, manufacturing, and inspection with genetic algorithms". In: Zhang, H., ed. Advanced tolerancing techniques. Chichester, UK: John Wiley & Sons; 1997. pp. 261–281.
   Google Scholar
• Moore, RE, Kearfott, RB, and Cloud, MJ, 2009. Introduction to interval analysis. Philadelphia: Siam; 2009.
   Google Scholar
• Movahhedy, MR, and Khodaygan, S, 2007. Tolerance analysis of mechanical assemblies with asymmetric tolerances, SAE (2007) Transactions Journal of Material and Manufacturing 116 (5) (2007), pp. 44–52.
   Google Scholar
• Parchami, A, et al., 2005. Process capability indices as fuzzy numbers, Austrian Journal of Statistics 34 (4) (2005), pp. 391–402.
   Google Scholar
• Parchami, A, and Mashinchi, M, 2007. Fuzzy estimation for process capability indices, Information Sciences 177 (2007), pp. 1452–1462.
   Web of Science ®Google Scholar
• Pearn, WL, Kotz, S, and Johnson, NL, 1992. Distributional and inferential properties of process capability indices, Journal of Quality Technology 24 (4) (1992), pp. 216–231.
   Web of Science ®Google Scholar
• Pearn, WL, Shu, MH, and Hsu, BM, 2004. Lower confidence bounds for CPU and CPL based on multiple samples with application to production yield assurance, International Journal of Production Research 42 (12) (2004), pp. 2339–2356.
   Web of Science ®Google Scholar
• Pearn, W.L. and Kotz, S., 2006. Encyclopedia and handbook of process capability indices: Comprehensive exposition of quality control measures. Series in Quality Reliability & Engineering Statistic 12. USA: World Scientific.
   Google Scholar
• Pillet, M, 2003. Inertial tolerancing in the case of assembled products. Recent advances in integrated design and manufacturing in mechanical engineering. Netherlands: Kluwer Academic Publishers, Springer; 2003.
   Google Scholar
• Shu, MH, and Wu, HC, 2010. Measuring the manufacturing process yield based on fuzzy data, International Journal of Production Research 48 (6) (2010), pp. 1627–1638.
   Web of Science ®Google Scholar
• Standard ASME, 2009. Dimensioning and tolerancing – engineering drawing and related documentation practices. Revision of ASME Y14.5 M–1994, (R2004). USA: ASME.
   Google Scholar
• Wu, C, Pearn, WL, and Kotz, S, 2009. An overview of theory and practice on process capability indices for quality assurance, International Journal of Production Economics 117 (2) (2009), pp. 338–359.
   Web of Science ®Google Scholar
• Yongting, C, 1996. Fuzzy quality and analysis on fuzzy probability, Fuzzy Sets Systems 83 (2) (1996), pp. 283–290.
   Web of Science ®Google Scholar
• Zadeh, LA, 1968. Probability measures of fuzzy events, Journal of Mathematical Analysis and Applications 10 (1968), pp. 421–427.
   Web of Science ®Google Scholar
• Zhang, Y, and Yang, M, 2009. A coordinate SPC model for assuring designated fit quality via quality-oriented statistical tolerancing, Computers & Industrial Engineering 57 (1) (2009), pp. 73–79.
   Web of Science ®Google Scholar