Have a personal or library account? Click to login
Proposal of Methodology for Practical Application of Nonparametric Control Charts Cover

Proposal of Methodology for Practical Application of Nonparametric Control Charts

Open Access
|Oct 2019

References

  1. Abbas, N., Zafar, R. F., Riaz, M., Hussain, Z., 2013. Progressive Mean Control Chart for Monitoring Process Location Parameter, Quality and Reliability Engineering International, 29(3), 357-367, DOI: 10.1002/qre.1386. ISSN 07488017.10.1002/qre.1386.ISSN07488017
  2. Bakir, S., Prater, T., Kiser, S., 2015. A Simple Nonparametric Quality Control Chart for Monitoring Students’ GPAs. SOP Transactions on Statistics and Analysis, 2015(1), 8-16, DOI: 10.15764/STSA.2015.0100210.15764/STSA.2015.01002
  3. Bush, H.M., Chongfuangprinya, P., Chen, V. C., Sukchotrat, T., Kim, S. B., 2010. Nonparametric multivariate control charts based on a linkage ranking algorithm, Quality and Reliability Engineering International, 26(7), 663-675, DOI: 10.1002/qre.1129.10.1002/qre.1129
  4. Capizzi, G., 2015. Recent advantages in process monitoring: Nonparametric and variable-selection methods for phase I and II. Quality Engineering, 27, 44-67, DOI: 10.1080/08982112.2015.968046.10.1080/08982112.2015.968046
  5. Chakraborti, S., Van Der Laan, P., Bakir, S. T., 2001. Nonparametric control charts : an overview and some results, Journal of Quality Technology, 33(3), 304-315 [cit. 2017-11-06].10.1080/00224065.2001.11980081
  6. Chakraborti, S., Van De Wiel, M. A., 2008. A nonparametric control chart based on the Mann-Whitney statistic. Beyond Parametrics in Interdisciplinary Research: Festschrift in Honor of Professor Pranab K. Sen Beachwood, Ohio, USA: Institute of Mathematical Statistics, 156, DOI: 10.1214/193940307000000112.10.1214/193940307000000112
  7. Chin, W. S., Khoo, M. B. C., 2012. A study of the median run length (MRL) Performance of the EWMA T chart for the mean. The South African Journal of Industrial Engineering, 23(3), 42-55, DOI: 10.7166/23-3-51010.7166/23-3-510
  8. Coelho, M., Chakraborti, S., Marien, A., Graham, M. A., 2015. A comparison of phase i control charts. The South African Journal of Industrial Engineering, 26(2), 178-190, DOI: 10.7166/26-2-102610.7166/26-2-1026
  9. Das, N. A., 2008. Note on the efficiency of nonparametric control chart for monitoring process variability, Economic Quality Control, 23(1), 85-93, DOI: 10.1515/EQC.2008.8510.1515/EQC.2008.85
  10. De Ketelaere, B. T., Rato, T., Schmitt, E., Hubert, M., 2016. Statistical process monitoring in data rich environments, Quality Engineering, 28(1), 127-142.10.1080/08982112.2015.1100474
  11. Graham, M. A., Chakraborti, S., Mukherjee, A., 2014. Design and implementation of CUSUM exceedance control charts for unknown location. International Journal of Production Research, 52(18), DOI: 10.1080/00207543.2014.917214.10.1080/00207543.2014.917214
  12. Graham, M. A., Chakraborti, S., Human, S. W., 2011. A nonparametric exponentially weighted moving average signed-rank chart for monitoring location. Computational Statistics & Data Analysis, 55(8), DOI: 10.1016/j.csda.2011.02.013.10.1016/j.csda.2011.02.013
  13. Lu, S. L., 2015. An Extended Nonparametric Exponentially Weighted Moving Average Sign Control Chart. Quality and Reliability Engineering International, 31(1), 3-13, DOI: 10.1002/qre.1673.10.1002/qre.1673
  14. Murakami, H. T. Matsuki, 2010. A nonparametric control chart based on the Mood statistic for dispersion, The International Journal of Advanced Manufacturing Technology, 49(5-8), 757-763, DOI: 10.1007/s00170-009-2439-3.10.1007/s00170-009-2439-3
  15. Oprime, P.C., de Toledo, J. C., Gonzáles, M. O. A., Chakraborti, S., 2016. Methods for determining the control limits of nonparametric charts for monitoring location and scale, Gest Prod., 23(1), 146-164.10.1590/0104-530X1445-14
  16. Smajdorová, T., 2019. Application of nonparametric methods in statistical process control (in Czech), Disertation thesis. Ostrava, VŠB-TUO, Czech Republic, 185.
  17. Wang, D., L. Zhang, Q., Xiong, Q., 2016. A non parametric CUSUM control chart based on the Mann–Whitney statistic. Communications in Statistics - Theory and Methods, 46(10), DOI: 10.1080/03610926.2015.107331410.1080/03610926.2015.1073314
  18. Woodal, W. H., 2017. Bridging the gap between theory and practice in basic statistical process monitoring, Quality Engineering, 29(1,2-15), 1532-1547, DOI: 10.1080/08982112.2016.121044910.1080/08982112.2016.1210449
  19. Yang, S. F., Lin, J. S., Cheng, S. W., 2011. A new nonparametric EWMA sign control chart, Expert Systems with Applications, 38(5), DOI: 10.1016/j.eswa.2010.11.04410.1016/j.eswa.2010.11.044
Language: English
Page range: 464 - 471
Submitted on: May 6, 2019
|
Accepted on: May 28, 2019
|
Published on: Oct 8, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2019 Darja Noskievičová, Tereza Smajdorová, published by Quality and Production Managers Association
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.