130
Views
7
CrossRef citations to date
0
Altmetric
ORIGINAL ARTICLES

Process capability estimation for leukocyte filtering process in blood service: A comparison study

, &
Pages 167-177 | Received 01 Jul 2010, Accepted 01 Sep 2014, Published online: 04 Nov 2014

References

  • Abbasi, B. (2009) A neural network applied to estimate process capability of non-normal processes. Expert System with Applications, 36, 3093–3100.
  • Abbasi, B., Niaki, S.T. A., and Seyedan, S.E. (2011) A simple transformation method in skewness reduction. International Journal of Engineering, Transactions A: Basics, 24 (2011), pp. 169–175.
  • Adams, M.R., Fisher, D.M., Dumont, L.J., Dzik, W.H., and Heaton, W.A. (2000). Detecting failed WBC-reduction processes: computer simulations of intermittent and continuous process failure. Transfusion, 40(12), 1427–1433.
  • Ahmad, S., Abdollahian, M., and Zeephongsekul, P. (2008). Process capability estimation for non-normal quality characteristics: a comparison of Clements, Burr and Box–Cox methods. ANZIAM Journal, 49, C642–C665.
  • Beckman, N., Nightingale, M.J., and Pamphilon, D. (2009) Practical guidelines for applying statistical process control to blood component production. Transfusion Medicine, 19, 329–339.
  • Beckman, N., Sher, G., Masse, M., Richter, E., Ringwald, J., Rebulla, P., Van Der Meer, P., Justica, B., Walker, B., and Rowe, G. (2004) Review of the quality monitoring methods used by countries using or implementing universal leukoreduction. Transfusion Medicine Reviews, 18(1), 25–35.
  • Bickel, P.J., and Doksum, K.A. (1981) An analysis of transformations revisited. Journal of the American Statistical Association, 76, 296–311.
  • Box, G., and Cox, D.R. (1964) An analysis of transformation. Journal of Royal Statistical Society B, 26, 211–243.
  • Castagliola, P. (1996) Evaluation of non-normal process capability indices using Burr's distributions. Quality Engineering, 8(4), 587–593.
  • Chang, Y.S., Choi, I.S., and Bai, D.S. (2002) Process capability indices for skewed populations. Quality and Reliability Engineering International, 18(5), 383–393.
  • Chen, H.F., and Kotz, S. (1996) An asymptotic distribution of Wright's process capability index sensitive to skewness. Journal of Statistical Computing Simulation, 55, 147–158.
  • Clements, J.A. (1989) Process capability calculations for non-normal distributions. Quality Progress, 22, 95–100.
  • Council of Europe (2008) Guide to the Preparation, Use and Quality Assurance of Blood Components (Recommendation No. R(95) 15) (14 ed.). Council of Europe Publishing, Strasbourg.
  • Dumont, L.J., Dzik, W.H., Rebulla, P., Brandwein, H., and members of the BEST Working Party of the ISBT (1996) Practical guidelines for process validation and process control of white cell-reduced blood components: report of the Biomedical Excellence for Safer Transfusion (BEST) Working Party of the International Society of Blood Transfusion (ISBT). Transfusion, 36, 11–20.
  • English, J.R., and Taylor, G.D. (1993) Process capability analysis—a robustness study. International Journal of Production Research, 31, 1621–1635.
  • Hosseinifard, S.Z., and Abbasi, B. (2012) Evaluation of process capability indices of linear profiles. International Journal of Quality and Reliability Management, 29(2), 161–176.
  • Hosseinifard, S.Z, Abbasi, B., Ahmad, S., and Abdollahian, M. (2009) A transformation technique to estimate the process capability index for non-normal processes. International Journal of Advanced Manufacturing Technology, 40(5–6), 512–517.
  • Huang, W., Pahwa, A., and Kong, Z. (2012) Kernel density estimation and metropolis-hastings sampling in process capability analysis of unknown distributions, in ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing. American Society of Mechanical Engineers, 651660.
  • Johnson, N.L. (1949) System of frequency curves generated by methods of translation. Biometrika, 36, 149–176.
  • Kane, V.E. (1986) Process capability indices. Journal of Quality Technology, 18(1), 41–52.
  • Liu, J., Huang, W., Kong, Z., and Zhou, Y. (2013) Process capability analysis with GD&T specifications, in ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, V02AT02A063.
  • Liu, P.H., and Chen, F.L. (2006) Process capability analysis of non-normal process data using the Burr XII distribution. International Journal of Advanced Manufacturing Technology, 27, 975–984.
  • Lupo, T. (2013) The new Nino capability index for dynamic process capability analysis. Quality and Reliability Engineering International. (Online)
  • McClelland, B. (2005) Guidelines for the Blood Transfusion Services in the United Kingdom (7th ed.). The Stationery Office, Norwich.
  • Nightingale,M. J., Madden, S., Curnow, E., Collett, D., Procter, S., and Rowe, G.P. (2012) An evaluation of statistical process control techniques applied to blood component quality monitoring with particular reference to CUSUM. Transfusion Medicine, 22(4), 285–293.
  • Pal, S. (2005) Evaluation of non-normal process capability indices using generalized lambda distribution. Quality Engineering, 17, 77–85.
  • Pan, J.N., and Lee, C.Y. (2010) New capability indices for evaluating the performance of multivariate manufacturing processes. Quality and Reliability Engineering International, 26(1), 3–15.
  • Rivera, L.A. R., Hubele, N.F., and Lawrence, F.P. (1995) CPK Index Estimating Using Data Transformation. Computer and Industrial Engineering, 29, 55–58.
  • Shauly, M., and Parmet, Y. (2011) Comparison of Pearson distribution system and response modeling methodology (RMM) as models for process capability analysis of skewed data. Quality and Reliability Engineering International, 27(5), 681–687.
  • Tang, L.C., and Than, S.E. (1999) Computing process capability indices for non-normal data: a review and comparative study. Quality and Reliability Engineering International, 15, 339–353.
  • UK Acts of Parliament. Blood Safety and Quality Regulations 2005. Statutory Instrument 2005/50.
  • Wang, F.K. (2014) A process yield for simple linear profiles. Quality Engineering, 26(3), 311–318.
  • Wright, P.A. (1995) A process capability index sensitive to skewness. Journal of Statistical Computing Simulation, 52, 195–203.
  • Wu, H.H., Wang, J.S., and Liu, T.L. (1998) Discussions of the Clements-based process capability indices, in Proceedings of the 1998 CIIE National Conference, 561–566.
  • Yang, J., Gang, T., Cheng, Y., and Xie, M. (2014) Process capability indices based on the highest density interval. Quality and Reliability Engineering International. Published online.
  • Yum, B.J., and Kim, K.W. (2010) A bibliography of the literature on process capability indices: 2000–2009. Quality and Reliability Engineering International, 27(3), 251–268.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.