Open Access
Issue
Int. J. Metrol. Qual. Eng.
Volume 7, Number 4, 2016
Article Number 404
Number of page(s) 8
DOI https://doi.org/10.1051/ijmqe/2016018
Published online 24 November 2016
  1. D.C. Montgomery, Statistical quality control: A modern introduction: International student version (Wiley and John Wiley, Hoboken, NJ/Chichester, 2008), sixth ed., ISBN 0470233974
  2. BSI British Standards BSI 5702-3:2008, Guide to statistical process control (SPC) charts for variables – Part 3: Charting techniques for short runs and small mixed batches, 2008
  3. M. Pillet, A specific SPC chart for small-batch control, Qual. Eng. 8, 581–586 (1996) [CrossRef]
  4. W. Edwards Deming, Out of the crisis (Massachusetts Institute of Technology, Center for Advanced Engineering Study, Cambridge, MA, 1986), ISBN 9780911379013
  5. C. Quesenberry, SPC Q charts for start-up processes and short or long runs, J. Qual. Technol. 23, 213–224 (1991)
  6. D.M. Hawkins, Self-starting CUSUM charts for location and scale, Statistician 36, 299 (1987) [CrossRef]
  7. E. Del Castillo, J.M. Grayson, D.C. Montgomery, G.C. Runger, A review of statistical process control techniques for short run manufacturing systems, Commun. Stat. Theor. Methods 25, 2723–2737 (1996) [CrossRef]
  8. E. Del Castillo, D.C. Montgomery, A Kalman filtering process control scheme with an application in semiconductor short run manufacturing, Qual. Reliab. Eng. Int. 11, 101–105 (1995) [CrossRef]
  9. G.S. Wassermann, An adaptation of the EWMA chart for short run SPC, Int. J. Prod. Res. 33, 2821–2833 (1995) [CrossRef]
  10. G. Capizzi, G. Masarotto, An enhanced control chart for start-up processes and short runs, Qual. Technol. Quant. Manag. 9, 189–202 (2012) [CrossRef]
  11. M.B.C. Khoo, S.H. Quah, H.C. Low, C.K. Ch’ng, Short runs multivariate control chart for process dispersion, Int. J. Rel. Qual. Saf. Eng. 12, 127–147 (2005) [CrossRef]
  12. M. Pillet, Inertial tolerancing, TQM Mag. 16, 202–209 (2004) [CrossRef]
  13. M. Pillet, E. Pairel, Determination of an adjusting rule in the case of multi-criteria inertial piloting, Int. J. Metrol. Qual. Eng. 2, 51–59 (2011) [CrossRef] [EDP Sciences]
  14. S. Cox, J.A. Garside, A. Kotsialos, Discrete-event simulation of process control in low volume high value industries, in Proceedings of the 11th International Conference on Manufacturing Research (ICMR2013) (2013)
  15. C.-s. Cheng, Group technology and expert systems concepts applied to statistical process control in small-batch manufacturing, Arizona State University, Tempe, AZ, USA, PhD thesis, 1989
  16. M. Al-Salti, A. Statham, The application of group technology concept for implementing SPC in small batch manufacture, Int. J. Qual. Reliab. Manag. 11, 64–76 (1994) [CrossRef]
  17. Y.D. Zhu, Y.S. Wong, K.S. Lee, Framework of a computer-aided short-run SPC planning system, Int. J. Adv. Manuf. Technol. 34, 362–377 (2007) [CrossRef]
  18. S.P. Mitrofanov, Scientific principles of group technology (Nauchnye osnovy gruppovoi tekhnologii) (National Lending Library for Science and Technology, Boston Spa (Yorks.), 1966)
  19. N.R. Tague, The quality toolbox (ASQ Quality Press, Milwaukee, WI, 2005), second ed., ISBN 9780873896399
  20. National Institute of Standards and Technology, Integration definition for function modeling (IDEFO) (Computer Systems Laboratory, National Institute of Standards and Technology, Gaithersburg, MD/Springfield, VA, 1993), Vol. 183
  21. D.C. Montgomery, Design and analysis of experiments (Wiley, Hoboken, NJ, 2013), eighth ed., ISBN 1118146921
  22. C.Z. Mooney, Monte Carlo simulation, volume no. 07-116 of Sage University Papers Series. Quantitative applications in the social sciences (Sage Publications, Thousand Oaks, CA, 1997), ISBN 9780803959439
  23. R. Guenther, J. Radebaugh, Understanding metadata (NISO Press, Bethesda, MD, 2004), ISBN 1-880124-62-9
  24. M. Wiederhold, J. Greipel, R. Ottone, R. Schmitt, Gemeinsam sind sie stark: Statistical Process Control bei kleinen Stückzahlen, Qualität und Zuverlässigkeit 61, 30–34 (2016)

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.