Bootstrap method approach in designing multi-attribute control charts

International Journal of Advanced Manufacturing Technology

Volumn 35, Issue 5-6, 2007, Pages 434-442

  Niaki, Seyed Taghi Akhavan ^a   Abbasi, Babak ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Bootstrap method; Multi attribute control charts; Process monitoring; Simultaneous confidence intervals

Indexed keywords

COMPUTER SIMULATION; PROCESS MONITORING; QUALITY CONTROL; STATISTICAL PROCESS CONTROL;

BOOTSTRAP METHODS; MULTI ATTRIBUTE CONTROL CHARTS; SIMULTANEOUS CONFIDENCE INTERVALS;

PRODUCTION ENGINEERING;

EID: 36049034002     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-006-0728-7     Document Type: Article

References (31)

1. Montgomery DC (2003) Introduction to statistical quality control, 5th edn. Wiley, New York, NY
2. Hotelling H (1947) Multivariate quality control. In: Eisenhart C, Hastay H, Wallis WA (eds) In techniques of statistical analysis. McGraw-Hill, New York, NY
3. Lowry CA, Montgomery DC (1995) A review of multivariate control charts. IIE Trans 27:800-810
4. Golnabi S, Houshmand AA (1999) Multivariate shewhart x-bar chart. Inter Stat, No. 4, -A web based journal http://www.interstat.stat.vt.edu/interstat/ index/Sep99.html
5. Woodall WH, Ncube MM (1985) Multivariate CUSUM quality-control procedures. Technometrics 27:285-292
6. Healy JD (1987) A note on multivariate CUSUM procedures. Technometrics 29:409-412
7. Lucas JM, Crosier RB (1982) Fast initial response for CUSUM quality control schemes: give your CUSUM a head start. Technometrics 24:199-2054
8. Pignatiello JJ, Runger GC (1990) Comparisons of multivariate CUSUM charts. J Qual Technol 22:173-186
9. Lucas JM, Saccucci MS (1990) Exponentially weighted moving average control schemes: properties and enhancements. Technometrics 32:1-10
10. Lowry CA, Woodall WH, Champ CW, Erigdon S (1992) A multivariate exponentially weighted moving average control chart. Technometrics 34:46-53
11. Kourti T, MacGregor JF (1996) Multivariate SPC methods for process and product monitoring. J Qual Technol 28:409-428
12. Runger GC (1996) Projections and the U2 multivariate control chart. J Qual Technol 2:313-319
13. Hawkins DM (1991) Regression adjustment for variables in multivariate quality control. J Qual Technol 25:175-182
14. Hayter AJ, Tsui KL (1994) Identification and qualification in multivariate quality control problems. J Qual Technol 26:197-208
15. Niaki STA, Abbasi B (2005) Fault diagnosis in multivariate control charts using artificial neural networks. J Qual Reliabil Eng Int 21:825-840
16. Bourke PD (1991) Detecting shift in fraction nonconforming using run-length control chart with 100% inspection. J Qual Technol 23:225-238
17. Xie M, Goh TN (1992) Some procedures for decision making in controlling high yield processes. Qual Reliabil Eng Int 8:355-360
18. Patel HI (1973) Quality control methods for multivariate binomial and Poisson distributions. Technometrics 15:103-112
19. Lu XS, Xie M, Goh TN, Lai CD (1998) Control chart for multivariate attribute processes. Int J Prod Res 36:3477-3489
20. Jolayemi JK (2000) An optimal design of multi-attribute control charts for processes subject to a multiplicity of assignable causes. Appl Math Comput 114:187-203
21. Jolayemi JK (1994) Convolution of independent binomial variables: an approximation method and a comparative study. Comput Stat Data Anal 18:403-417
22. Gibra IN (1978) Economically optimal determination of the parameters of np-control charts. J Qual Technol 10:12-19
23. Marcucci M (1985) Monitoring multinomial processes. J Qual Technol 17:86-91
24. Larpkiattaworn S (2003) A neural network approach for multi-attribute process control with comparison of two current techniques and guidelines for practical use. Dissertation, University of Pittsburgh
25. Gadre MP, Rattihalli RN (2005) Some group inspection based multi-attribute control charts to identify process deterioration. Econ Qual Control 2:151-164
26. Sahai H, Khurshid A (1993) Confidence intervals for the mean of a Poisson distribution: a review. Biometr J 7:857-867
27. Efron B (1979) Bootstrap method: another look at kackknife. Ann Stat 7:1-26
28. Holland BS, Copenhaver MD (1987) An improved sequentially rejective Bonferroni test procedure. Biometrics 43:417-424
29. Jhun M, Jeong H (2006) Simultaneous confidence intervals for multivariate Poisson distributions. http://www.kss.or.kr./ceminar/schedule/done1/52/04-1-49. pdf
30. Cario MC, Nelson BL (1997) Modeling and generating random vectors with arbitrary marginal distributions and correlation matrix. Technical Report, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, IL
31. Niaki STA, Abbasi B (2006) NORTA and neural networks based method to generate random vectors with arbitrary marginal distributions and correlation matrix. Proc 17th IASTED International Conference on Modeling and Simulation, Montreal, Canada