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Mathematical Problems in Engineering
Volume 2015, Article ID 128491, 11 pages
http://dx.doi.org/10.1155/2015/128491
Research Article

Product Reliability Oriented Design Scheme of Control Chart Based on the Convergent CEV for Censored Characteristics

1School of Reliability and Systems Engineering, Beihang University, Beijing 100191, China
2Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong

Received 3 July 2015; Revised 17 October 2015; Accepted 20 October 2015

Academic Editor: Xinkai Chen

Copyright © 2015 Yihai He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. P. C. Teoh and K. Case, “An evaluation of failure modes and effects analysis generation method for conceptual design,” International Journal of Computer Integrated Manufacturing, vol. 18, no. 4, pp. 279–293, 2005. View at Publisher · View at Google Scholar · View at Scopus
  2. W. Wang, P. Scarf, S. Wu, and E. Zio, “Mathematical applications to reliability and maintenance problems in engineering systems,” Mathematical Problems in Engineering, vol. 2015, Article ID 629497, 2 pages, 2015. View at Publisher · View at Google Scholar
  3. G. Levitin and L. Xing, “Reliability and performance of multi-state systems with propagated failures having selective effect,” Reliability Engineering & System Safety, vol. 95, no. 6, pp. 655–661, 2010. View at Publisher · View at Google Scholar · View at Scopus
  4. V. Volovoi, “Modeling of system reliability Petri nets with aging tokens,” Reliability Engineering & System Safety, vol. 84, no. 2, pp. 149–161, 2004. View at Publisher · View at Google Scholar · View at Scopus
  5. Y. He, L. Wang, Z. He, and M. Xie, “A fuzzy TOPSIS and rough set based approach for mechanism analysis of product infant failure,” Engineering Applications of Artificial Intelligence, 2015. View at Publisher · View at Google Scholar
  6. M. A. Durivage, Practical Engineering, Process, and Reliability Statistics, American Society for Quality, Quality Press, Milwaukee, Wis, USA, 2015.
  7. S. H. Steiner and R. J. Mackay, “Monitoring processes with highly censored data,” Journal of Quality Technology, vol. 32, no. 3, pp. 199–208, 2000. View at Google Scholar · View at Scopus
  8. H. Wu and Y. Luan, “An efficient estimation of the mean residual life function with length-biased right-censored data,” Mathematical Problems in Engineering, vol. 2014, Article ID 937397, 5 pages, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  9. W. H. Woodall and D. C. Montgomery, “Some current directions in the theory and application of statistical process monitoring,” Journal of Quality Technology, vol. 46, no. 1, pp. 78–94, 2014. View at Google Scholar · View at Scopus
  10. S. H. Steiner and R. J. MacKay, “Detecting changes in the mean from censored lifetime data,” in Frontiers in Statistical Quality Control, vol. 6 of Frontiers in Statistical Quality Control, pp. 275–289, Physica, Heidelberg, Germany, 2001. View at Publisher · View at Google Scholar
  11. S. H. Steiner and R. J. MacKay, “Monitoring processes with data censored owing to competing risks by using exponentially weighted moving average control charts,” Journal of the Royal Statistical Society. Series C. Applied Statistics, vol. 50, no. 3, pp. 293–302, 2001. View at Publisher · View at Google Scholar · View at MathSciNet
  12. S. T. Liu, “Springer handbook of engineering statistics,” Technometrics, vol. 49, no. 4, pp. 494–494, 2007. View at Publisher · View at Google Scholar
  13. P. Erto, G. Pallotta, and S. H. Park, “An example of data technology product: a control chart for Weibull processes,” International Statistical Review, vol. 76, no. 2, pp. 157–166, 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. D. C. Montgomery, Introduction to Statistical Process Control, John Wiley & Sons, Hoboken, NJ, USA, 6th edition, 2009.
  15. S. H. Steiner and M. Jones, “Risk-adjusted survival time monitoring with an updating exponentially weighted moving average (EWMA) control chart,” Statistics in Medicine, vol. 29, no. 4, pp. 444–454, 2010. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  16. S. Asadzadeh and A. Aghaie, “Improving the product reliability in multistage manufacturing and service operations,” Quality and Reliability Engineering International, vol. 28, no. 4, pp. 397–407, 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. B. Guo and B. X. Wang, “Control charts for monitoring the weibull shape parameter based on type-II censored sample,” Quality and Reliability Engineering International, vol. 30, no. 1, pp. 13–24, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. M. Xie, T. N. Goh, and P. Ranjan, “Some effective control chart procedures for reliability monitoring,” Reliability Engineering & System Safety, vol. 77, no. 2, pp. 143–150, 2002. View at Publisher · View at Google Scholar · View at Scopus
  19. B. Sürücü and H. S. Sazak, “Monitoring reliability for a three-parameter Weibull distribution,” Reliability Engineering & System Safety, vol. 94, no. 2, pp. 503–508, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. D. A. Olteanu, Cumulative sum control charts for censored reliability data [Ph.D. thesis], Virginia Polytechnic Institute and State University, Blacksburg, Va, USA, 2010.
  21. L. Lu, “Weighted progressive iteration approximation and convergence analysis,” Computer Aided Geometric Design, vol. 27, no. 2, pp. 129–137, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  22. S.-O. Caballero-Morales, “Building cost function 3D benchmarks to improve the economic statistical design of X- control charts,” Mathematical Problems in Engineering, vol. 2014, Article ID 879456, 20 pages, 2014. View at Publisher · View at Google Scholar
  23. P. Murthy, “New research in reliability, warranty and maintenance,” in Proceedings of the 4th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM '10), pp. 504–515, McGraw-Hill International Enterprises, Wellington, New Zealand, December 2010.
  24. J. V. Abellan-Nebot, J. Liu, F. R. Subirn, and J. Shi, “State space modeling of variation propagation in multistation machining processes considering machining-induced variations,” Journal of Manufacturing Science and Engineering, vol. 134, no. 2, Article ID 021002, 2012. View at Publisher · View at Google Scholar · View at Scopus
  25. K. Mi, Y.-H. He, and C.-H. Wu, “The relationship of product reliability and its process dimensions: a study on product reliability assurance in manufacturing,” in Proceedings of the IEEE 18th International Conference on Industrial Engineering and Engineering Management (IE & EM '11), pp. 1177–1180, September 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. Y. He, X. Tang, and W. Chang, “Technical decomposition approach of critical to quality characteristics for product design for six sigma,” Quality and Reliability Engineering International, vol. 26, no. 4, pp. 325–339, 2010. View at Publisher · View at Google Scholar · View at Scopus
  27. I. A. Kurnaz, Techniques in Genetic Engineering, CRC Press, Taylor & Francis Group, New York, NY, USA, 2015.
  28. S. J. Hu and Y. Koren, “Stream-of-variation theory for automotive body assembly,” CIRP Annals—Manufacturing Technology, vol. 46, no. 1, pp. 1–6, 1997. View at Publisher · View at Google Scholar · View at Scopus