A new generation of process capability indices

References

• Amirzadeh , V. , Mashinchi , M. and Parchami , A. 2008 . Construction of p-charts using degree of nonconformity . Inf. Sci. , Accepted
   Web of Science ®Google Scholar
• Boyles , R. A. 1991 . The Taguchi capability index . J. Qual. Technol. , 23 : 17 – 26 .
   Web of Science ®Google Scholar
• Boyles , R. A. 1994 . Process capability with asymmetric tolerances . Commun. Statist. Simul. Comput. , 23 : 613 – 643 .
   Web of Science ®Google Scholar
• Hsiang , T. C. and Taguchi , G. Tutorial on Quality Control and Assurance – The Taguchi Methods . Joint Meetings of the American Statistical Association . Las Vegas , Nevada .
   Google Scholar
• Juran , J. M. 1974 . Jurans Quality Control Handbook , 3 , New York : McGraw-Hill .
   Google Scholar
• Kane , V. E. 1986 . Process capability indices . J. Qual. Technol. , 18 : 41 – 52 .
   Web of Science ®Google Scholar
• Kotz , S. and Johnson , N. 1993 . Process Capability Indices , New York : Chapman and Hall .
   Google Scholar
• Kotz , S. and Johnson , N. 2002 . Process capability indices – A review, 1992–2000 . J. Qual. Technol. , 34 : 2 – 19 .
   Web of Science ®Google Scholar
• Lee , H. T. 2001 . Cpk index estimation using fuzzy numbers . Eur. J. Oper. Res. , 129 : 683 – 688 .
   Web of Science ®Google Scholar
• Moeti , M. T. , Parchami , A. and Mashinchi , M. 2006 . A note on fuzzy process capability indices . Scientia Iranica , 13 : 379 – 385 .
   Google Scholar
• Montgomery , D. C. 2005 . Introduction to Statistical Quality Control, , 5 , John Wiley & Sons, Inc. .
   Google Scholar
• Nguyen , H. T. and Walker , E. A. 2005 . A First Course in Fuzzy Logic , 3 , London : Chapman & Hall/CRC .
   Google Scholar
• Parchami , A. and Mashinchi , M. Making decision to evaluate fuzzy process capability index . Asian Fuzzy Systems Society International Conference (AFSS 2006) . Boading , China. pp. 28 – 33 .
   Google Scholar
• Parchami , A. and Mashinchi , M. 2007 . Fuzzy estimation for process capability indices . Inform. Sci. , 177 : 1452 – 1462 .
   Web of Science ®Google Scholar
• Parchami , A. and Mashinchi , M. 2008 . Testing the capability of fuzzy processes . Qual. Technol. Quant. Manag. , Accepted
   Web of Science ®Google Scholar
• Parchami , A. , Mashinchi , M. and Maleki , H. R. 2006 . Fuzzy confidence interval for fuzzy process capability index . J. Intell. Fuzzy Syst. , 17 : 287 – 295 .
   Web of Science ®Google Scholar
• Parchami , A. , Mashinchi , M. , Yavari , A. R. and Maleki , H. R. 2005 . Process capability indices as fuzzy numbers . Austrian J. Statist. , 34 : 391 – 402 .
   Google Scholar
• Pearn , W. L. and Wu , C. W. 2005 . A Bayesian approach for assessing process precision based on multiple samples . Eur. J. Oper. Res. , 165 : 685 – 695 .
   Web of Science ®Google Scholar
• Pearn , W. L. , Kotz , S. and Johnson , N. 1992 . Distribution and inferential properties of capability indices . J. Qual. Technol. , 24 : 41 – 52 .
   Web of Science ®Google Scholar
• Sadeghpour-Gildeh , B. Multivariate process capability index based on fuzzy tolerance region . 37th Annual Iranian Mathematics Conference . pp. 607 – 610 .
   Google Scholar
• Taheri , S. M. 2003 . Trends in fuzzy statistics . Austrian J. Statist. , 32 : 239 – 257 .
   Google Scholar
• Tsai , C. C. and Chen , C. C. 2006 . Making decision to evaluate process capability index Cp with fuzzy numbers . Int. J. Adv. Manuf. Technol. , 30 : 334 – 339 .
   Web of Science ®Google Scholar
• Vännman , K. 1995 . A unified approach to the capability indices . Statist. Sinica , 5 : 805 – 820 .
   Web of Science ®Google Scholar
• Vännman , K. 1997 . A general class of capability indices in the case of tolerances . Commun. Statist. Theory Methods , 26 : 2049 – 2072 .
   Web of Science ®Google Scholar
• Vännman , K. 1998 . Families of capability indices for one-side specification limits . Statistics , 31 : 43 – 66 .
   Web of Science ®Google Scholar
• Viertl , R. 2002 . On the future of data analysis . Austrian J. Statist. , 31 : 241 – 244 .
   Google Scholar
• Xu , R. and Li , C. 2001 . Multidimensional least-squares fitting with a fuzzy model . Fuzzy Sets Syst. , 119 : 215 – 223 .
   Web of Science ®Google Scholar
• Yongting , C. 1996 . Fuzzy quality and analysis on fuzzy probability . Fuzzy Sets Syst. , 83 : 283 – 290 .
   Web of Science ®Google Scholar
• Zadeh , L. A. 1965 . Fuzzy sets . Inform. Control , 8 : 338 – 359 .
   Web of Science ®Google Scholar
• Zadeh , L. A. 1968 . Probability measures of fuzzy events . J. Math. Anal. Appl. , 23 : 421 – 427 .
   Web of Science ®Google Scholar
• Zadeh , L. A. 2005 . Toward a generalized theory of uncertainty (GTU)-an outline . Inform. Sci. , 172 : 1 – 40 .
   Web of Science ®Google Scholar
• Zadeh , L. A. 2008 . Is there a need for fuzzy logic? . Inform. Sci. , 178 : 2751 – 2779 .
   Web of Science ®Google Scholar