A synthetic control chart for monitoring process dispersion with sample range

International Journal of Advanced Manufacturing Technology

Volumn 26, Issue 7-8, 2005, Pages 842-851

  Chen, F L ^a   Huang, H J ^a  

^a NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

Conforming run length; Control chart; Process dispersion; Variable sampling interval

Indexed keywords

MACHINE DESIGN; PROCESS CONTROL; PROCESS ENGINEERING;

CONFORMING RUN LENGTH; CONTROL CHARTS; PROCESS DISPERSION; VARIABLE SAMPLING INTERVAL;

FLOWCHARTING;

EID: 26644451887     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-003-2010-6     Document Type: Article

References (25)

1. Nelson LS (1990) Monitoring reduction in variation with a range chart. J Qual Technol 22:163-165
2. Lowry CA, Champ CW, Woodall WH (1995) The performance of control charts for monitoring process variation. Commun Stat Simul Comput 24:409-437
3. Page ES (1963) Controlling the standard deviation by CUSUM and warning lines. Technometrics 5:307-315
4. Alt FB (1984) Multivariate quality control. In: Kotz S, Johnson NL, Read CR (eds) The encyclopedia of statistical sciences. Wiley, New York, pp 110-122
5. Tuprah K, Ncube M (1987) A comparison of dispersion quality control charts. Sequential Anal 6:155-163
6. Crowder SV, Hamilton MD (1992) An EWMA for monitoring a process standard deviation. J Qual Technol 24:12-21
7. Chang TC, Gan FF (1994) Optimal designs of one-sided EWMA charts for monitoring a process variance. J Stat Comput Simul 49:33-48
8. Chang TC. Gan FF (1995) A cumulative sum control chart for monitoring process variance. J Qual Technol 27:109-119
9. Acosta-Mejia CA (1998) Monitoring reduction in variability with the range. IIE Trans 30:515-523
10. Srivastava MS (1997) CUSUM procedure for monitoring variability. Commun Stat Theory Methods 26:2905-2926
11. Acosta-Mejia CA, Pignatiello JJ Jr., Rao BV (1999) A comparison of control charting procedures for monitoring process dispersion. IIE Trans 31:569-579
12. Klein M (2000) Modified S-charts for controlling process variability. Commun Stat Simul Comput 29:919-940
13. Wu A, Spedding TA (2000) A synthetic control chart for detecting small shifts in the process mean. J Qual Technol 32:32-38
14. Calzada ME, Scariano SM (2001) The robustness of the synthetic control chart to non-normality. Commun Stat Simul Comput 30:311-326
15. Davis RB, Woodall WH (2002) Evaluating and improving the synthetic control chart. J Qual Technol 34:200-208
16. Pearson ES, Hartley HO (1942) The probability integral of the range in samples of n observations from a normal population. Biometrika 32:301-310
17. Bourke PD (1991) Detecting a shift in fraction nonconforming using run-length control charts with 100% inspection. J Qual Technol 23:225-238
18. Kaminsky FC, Benneyan JC, Davis RD (1992) Statistical control charts based on a geometric distribution. J Qual Technol 24:63-69
19. Xie M, Goh TN, Lu XS (1998) A comparative study of CCC and CUSUM charts. Qual Reliabil Eng Int 14:339-345
20. Wu Z, Yeo SH, Fan H(2000) A comparative study of the CRL-type control charts. Qual Reliabil Eng Int 16:269-279
21. Yang Z, Xie M, Kuralmani V, Tsui KL (2002) On the performance of geometric charts with estimated control limits. J Qual Technol 34:448-458
22. Reynolds MR Jr., Amin RW, Arnold JC, Nachlas JA (1988) X̄ charts with variable sampling intervals. Technometrics 30:181-192
23. Runger GC, Pignatiello JJ Jr. (1991) Adaptive sampling for process control. J Qual Technol 23:135-155
24. 2 control chart with variable sampling intervals. Int J Prod Res 39:3127-3140
25. Tagaras G (1998) A survey of recent developments in the design of adaptive control charts. J Qual Technol 30:212-231