Open Access
Int. J. Metrol. Qual. Eng.
Volume 4, Number 3, 2013
Page(s) 169 - 175
Published online 06 March 2014
  1. M. Pillet, Improving the productivity and industrial deployment of Inertial Tolerancing – Améliorer la productivité, déploiement industriel du tolérancement inertiel (Eyrolles, Éditions d’Organisation, 2010) [Google Scholar]
  2. M. Pillet, Inertial tolerancing in the case of assembled products. Recent advances in integrated design and manufacturing in mechanical engineering, pp. 85–94, ISBN 1-4020-1163-6 [Google Scholar]
  3. P.A. Adragna, M. Pillet, S. Samper, F. Formosa, Guaranteeing a maximum Non-Conformity Rate on the assembly resulting from a statistical tolerancing approach, Computer Aided Tolerancing (CAT), Erlangen, Germany, 2007 [Google Scholar]
  4. D. Denimal, M. Pillet, The Adjustment and Monitoring of Freeform Surfaces using Inertial Tolerancing, ASIGURAREA CALITATII – QUALITY ASSURANCE XVII, 8–16 (2011) [Google Scholar]
  5. H. Hotelling, The generalization of Student’s ratio, Ann. Math. Stat. 2, 360–378 (1931) [Google Scholar]
  6. S. Bersimis, S. Psarakis, J. Panaretos, Multivariate Statistical Process Control Charts: An Overview, Qual. Reliab. Eng. Int. 23, 517–543 (2007) [CrossRef] [Google Scholar]
  7. R.L. Mason, J.C. Young, Multivariate Statistical Process Control with Industrial Application, ASA-SIAM Series on Statistics and Applied Probability (Copyright 2002 by the American Statistical Association and the Society for Industrial and Applied Mathematics, 2002) [Google Scholar]
  8. V.B. Ghute, D.T. Shirke, A multivariate synthetic control chart for monitoring process mean vector, Commun. Stat. Theory Meth. 37, 2136–2148 (2008) [CrossRef] [Google Scholar]
  9. C.W. Champ, F. Aparisi, Double sampling Hotelling’s charts, Qual. Reliab. Eng. Int. 24, 153–166 (2008) [Google Scholar]
  10. F. Aparisi, M.A. Deuna, The design and performance of the multivariate synthetic control chart, Commun. Stat. Theory Meth. 38, 173–192 (2009) [CrossRef] [Google Scholar]
  11. N. Boudaoud, Z. Cherfi, A comparative study of cusum and EWMA charts: detection of incipient drifts in a multivariate framework, Qual. Eng. 17, 703–709 (2004) [CrossRef] [Google Scholar]
  12. P. Bourdet, A. Clement, A study of optimal – criteria identification based on the small – displacement screw model, CIRP Ann. 37, 503–506 (1988) [CrossRef] [Google Scholar]
  13. D.C. Montgomery, Introduction to statistical quality control, 4th edn. (Wiley, 2001) [Google Scholar]
  14. M. Pillet, Applying Statistical Process Control (Appliquer la Maîtrise Statistique des processus MSP/SPC) (Eyrolles, Éditions d’Organisation, 2008) [Google Scholar]
  15. T.P. Ryan, Statistical Methods for Quality Improvement (Wiley, New York, 2000) [Google Scholar]

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