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Introduce and Compare Two Approaches for Monitoring a Two-Stage Process by Profile Quality Characteristic in the Second Stage

Author Affiliations

  • 1 Department of Industrial Engineering, Yazd University, Yazd, IRAN

Res. J. Recent Sci., Volume 2, Issue (6), Pages 32-42, June,2 (2013)

Abstract

The quality of products is monitored according to the different control charts for quality characteristics of them. These quality characteristics are either variable or attribute can be a single variable, or a vector of variables or a profile relationship. However, because the quality of the product is the result of the performance of different procedures on the product, and usually these stages are not independent of each other, therefore, the assumption of independent process affecting error on the quality of the output. Up to now the effects of these situations on monitoring the multi-stage processes with single or multi variables were being examined. Though, multi-stage profile processes were less appealing for researchers. This paper introduces a model for a two-stage profile in addition to two different approaches that have been proposed for monitoring process.And the variation of the coefficients of the profile, as well as changes in the quality characteristics of the first stage, in a two-stage process, on the second phase control charts were reviewed.

References

  1. Rodrigues L.L.R., Kantharaj A.N., Kantharaj B., Freitas W.R.C. and Murthy B.R.N., Effect of Cutting Parameters on Surface Roughness and Cutting Force in Turning Mild Steel, Res. J. Recent Sci.,10), 19-26 (2012)
  2. Sharma Kalpa, Health IT in Indian Healthcare System: A New Initiative, Res.J.Recent Sci., ), 83-86(2012)
  3. Agbo G.A., Ibeh G.F. and Ekpe J.E., Estimation of Global Solar Radiation at Onitsha with Regression Analysis and Artificial Neural Network Models, Res.J.Recent Sci.,), 27-31(2012)
  4. Behmaneshfar Ali, Shahbazi S. and Vaezi S., Analysis of the Sampling in Quality Control Charts in non uniform Process by using a New Statistical Algorithm, Res.J.Recent Sci.,), 36-41(2012)
  5. Murthy B.R.N., Lewlyn L.R. Rodrigues and AnjaiahDevineni, Process Parameters Optimization in GFRP Drilling through Integration of Taguchi and Response Surface Methodology, Res.J.Recent Sci.,), 7-15 (2012)
  6. Zhang G.X., A New Type of Quality Control Chart Allowing the Presence of Assignable Causes the Cause-Selecting Control Chart, Acta ElectronicaSanica, , 1-10 (1980)
  7. Mahmoud M.A. and Woodall W.H., Phase I Analysis of Linear Profiles with Calibration Applications, Technometrics, 46, 377-391 (2004)
  8. Zhang G.X., Multiple Cause-Selecting Control Charts, Acta Electronic Sin, , 31-36 (1982)
  9. Hawkins D.M., Multivariate Quality Control Based on Regression Adjusted Variables, Technometrics, 33), 61-75 (1991)
  10. Hawkins D.M., Regression Adjustment for Variables in Multivariate Quality Control, Journal of Quality Technology, 25), 170-182 (1993)
  11. Wade M.R. and Woodall W.H., A Review and Analysis of Cause-Selecting Control Charts, Journal of Quality Technology, 25), 161-169 (1993)
  12. Yang S.F. and Yang C.M., An Approach to Controlling Two Dependent Process Steps with Auto correlated Observations, International Journal of Advanced Manufacturing Technology, 29), 170-177 (2006)
  13. Skinner K.R., Montgomery D.C. and Runger G.C., Generalized Linear Model-Based Control Charts for Discrete Semiconductor Process Data. Quality and Reliability Engineering International, 20), pp. 777 786 (2004)
  14. Jearkpaporn, D., Montgomery, D.C., Runger, G.C. and Borror, C.M. Process Monitoring for Correlated Gamma-Distributed Data Using Generalized-Linear-Model-Based Control Charts, Quality and Reliability Engineering International, 19), 477-491 (2003)
  15. Jearkpaporn D., Montgomery D.C., Runger G.C. and Borror C.M., Model-based process monitoring using robust generalized linear models, International Journal of Production Research, 43, 1337-1354 (2005)
  16. Jearkpaporn D., Borror C.M., Runger G.C. and Montgomery D.C., Process Monitoring for Mean Shifts for Multiple Stage Processes, International Journal of Production Research, 4523), 5547-5570 (2007)
  17. Loredo E.N, Jearkpaporn D. and Borror C.M., Model-based control chart for autoregressive and correlated data, Quality and Reliability Engineering International, 18, 489-496 (2002)
  18. Shu L. and Tsung F., On multistage statistical process control, Journal of the Chinese Institute of Industrial Engineers, 20, 1-8 (2003)
  19. Yang S.F. and Yang C.M., Effects of Imprecise Measurement on the Two Dependent Processes Control for the Autocorrelated Observations, International Journal of Advanced Manufacturing Technology, 26, 623-630 (2005)
  20. Niaki S.T.A. and Davoodi M., Designing a multivariate-multistage quality control system using artificial neural networks, International Journal of Production Research, 47(1), 251-271 (2009)
  21. Kang L. and Albin S.L., On-Line Monitoring When the Process Yields a Linear Profile, Journal of Quality Technology, 32, 418-426 (2000)
  22. Kim K., Mahmoud M.A. and Woodall W.H., On the Monitoring of Linear Profiles, Journal of Quality Technology, 35, 317-328 (2003)
  23. Gupta, S., Montgomery D.C. and Woodall W.H., Performance Evaluation of Two Methods for Online Monitoring of Linear Calibration Profiles, International journal of Production Research, 44, 1927-1942 (2006)
  24. Zou C., Zhang Y. and Wang Z., Control Chart Based on Change-Point Model for Monitoring Linear Profiles, IIE Transactions, 38, 1093-1103 (2006)
  25. Noorossana R., Vaghefi A. and Dorri M., Effect of NonNormality on the Monitoring of Simple Linear Profiles, Quality and Reliability Engineering International, Wiley Inter science, 27, 1015-1021 (2010)
  26. Jensen W.A., Birch J.B. and Woodall W.H., Monitoring correlation within linear profiles using mixed models, Journal of Quality Technology, 40, 167183 (2008)
  27. Noorossana R., Saghaei A., Amiri A., Statistical Analysis of Profile Monitoring, John Wiley & Sons, (2011)
  28. Niaki S.T.A., Soleimani P. and Eghbali M., Performance Evaluation of methods for monitoring simple linear profiles in Multi stage Process, Journal of Engineering and Quality Management, 1(1), 1-14 (2012)