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Short Production Run Control Charts to Monitor Process Variances

Title:

Short Production Run Control Charts to Monitor Process Variances

Meng, Zhongyao (2015) Short Production Run Control Charts to Monitor Process Variances. Masters thesis, Concordia University.

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Abstract

Control chart is one of the most commonly used statistical tools for quality control and improvement. If the process mean and standard deviation are not given or unknown, most Shewhart control charts require sufficient sample data before the control chart can be established. However, in certain industries or processes, it may not be practical to collect adequate amount of data at the beginning of the manufacturing process to build the trial control chart in Phase I. For quality improvement in such or similar processes, some authors developed self-starting control charts for short-run production, e.g. t chart, Q chart, EWMA t chart/Q chart, CUSUM t chart/Q chart. This thesis studies the performance of some short run control charts for monitoring process variances. Numerical simulations are using in this study. The results of the numerical experiments are extensively tested for different combinations of process lengths and starting points of process shifts.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Meng, Zhongyao
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Industrial Engineering
Date:June 2015
Thesis Supervisor(s):Chen, Mingyuan
Keywords:statistical quality control, short production run, control charts, standard deviation, numerical simulation
ID Code:980578
Deposited By: ZHONGYAO MENG
Deposited On:02 Nov 2015 17:11
Last Modified:18 Jan 2018 17:51

References:

1. Capizzi, G. and Masarotto, G. (2012), "An Enhanced Control Chart for Start-Up Processes and Short Runs", Quality Technology and Quantitative Management, Vol. 9, pp. 189-202.
2. Castillo, E. D. and Montgomery, D. C. (1994), "Short-Run Statistical Process Control: Q-Chart Enhancements and Alternative Methods", Quality and Reliability Engineering International, Vol. 10, pp. 87-97.
3. Castillo, E. D. and Montgomery, D. C. (1994), "Short-Run Statistical Process Control: Q-chart Enhancements and Alternative Methods", Quality and Reliability Engineering International, Vol. 10, pp. 87-97.
4. Celano, G., Castagliola, P. and Trovato, E. (2012), "The Economic Performance of a CUSUM t Control Chart for Monitoring Short Production Runs", Quality Technology and Quantitative Management, Vol.9, pp. 329-354.
5. Celano, G., Castagliola, P., Fichera, S. and Nenes, G. (2013), "Performance of t Control Charts in Short Runs with Unknown Shift Sizes", Computers & Industrial Engineering, Vol. 64, pp. 56-68.
6. Celano, G., Castagliola, P., Trovato, E. and Fichera, S. (2011), "Shewhart and EWMA t Control Charts for Short Production Runs", Quality and Reliability Engineering International, Vol. 27, pp. 313-326.
7. Champ, C. W. and Woodall, W. H. (1987), "Exact Results for Shewhart Control Charts with Supplementary Runs Rules", Technometrics, Vol.29, pp. 393-399.
8. Chang, C. W. and Tong, L. I. (2013), "Monitoring the Software Development Process Using a Short-Run Control Chart", Software Quality Journal, Vol. 21, pp. 479-499.
9. Chen, F. and Yeh, L. (2010), "Economic Statistical Design of X-Bar Control Charts for Correlated Data and Gamma Failure Mechanism with Genetic Algorithm", Proceedings of the 40th International Conference of Computers and Industrial Engineering, July 25-28, pp. 1-6, Hsinchu, Taiwan.
10. Garjani, M., Noorossana, R. and Saghaei, A. (2010), "A Neural Network-Based Control Scheme for Monitoring Start-Up Processes and Short Runs", The International Journal of Advanced Manufacturing Technology, Vol. 51, pp. 1023-1032.
11. He, F., Jiang, W. and Shu, L. (2008), "Improved Self-Starting Control Charts for Short Runs", Quality Technology and Quantitative Management, Vol. 5, pp. 289-308.
12. Kawamura, H., Nishina, K., Higashide, M. and Suzuki, T. (2013), "Application of Q Charts for Short Run Autocorrelated Data", International Journal of Innovative Computing, Information and Control, Vol. 9, pp. 3667-3676.
13. Lampreia, S. and Requeijo, J. (2012), "Analysis of an Equipment Condition by Q & Multivariate Q Control Charts", Proceedings of the 14th WSEAS International Conference on Mathematical Methods, Computational Techniques and Intelligent Systems (MAMECTIS '12), July 1-3, pp. 200-205, Porto, Portugal.
14. Li, Y., Liu, Y., Zou, C. and Jiang, W. (2014), "A Self-Starting Control Chart for High-Dimensional Short-Run Processes", International Journal of Production Research, Vol. 52, pp. 445-461.
15. Li, Z. and Wang, Z. (2010), "Adaptive CUSUM of the Q Chart", International Journal of Production Research, Vol. 48, pp. 1287-1301.
16. Li, Z., Luo, Y. and Wang, Z. (2010), "Cusum of Q Chart with Variable Sampling Intervals for Monitoring the Process Mean", International Journal of Production Research, Vol. 48, pp. 4861-4876.
17. Li, Z., Zhang, J. and Wang, Z. (2010), "Self-Starting Control Chart for Simultaneously Monitoring Process Mean and Variance", International Journal of Production Research, Vol. 48, pp. 4537-4553.
18. Liu, L., Zhang, J. and Zi, X. (2015), "Dual Nonparametric CUSUM Control Chart Based on Ranks", Communications in Statistics-Simulation and Computation, Vol. 44, pp. 756-772.
19. Ma, H., Yu, Y., Xiao, C., Yun, X., Liu, J. and Li, X. (2010), "The Standard S Control Chart with Run Rules", Proceedings of the First ACIS International Symposium in Cryptography and Network Security, Data Mining and Knowledge Discovery, E-Commerce & Its Applications and Embedded Systems (CDEE), October 23-24, pp. 401-404, Qinghuangdao, China.
20. Montgomery, D. C. (2013), Introduction to Statistical Quality Control, John Wiley & Sons.
21. Noskievicova D., Mahdal M. and Brodecka K. (2014), "SW Support for CCC and CQC Control Charts", Proceedings of the 15th International Carpathian, Control Conference (ICCC), May 28-30, pp. 387-392, Ostrava, Czech Republic.
22. Quesenberry, C. P. (1991), "SPC Q Charts for Start-up Processes and Short or Long Runs", Journal of Quality Technology, Vol. 23, pp. 213-224.
23. Quesenberry, C. P. (1995), "On Properties of Q Charts for Variables", Journal of Quality Technology, Vol. 27, pp. 184-203.
24. Quesenberry, C. P. (1996), "Response to ‘Short‐Run Statistical Process Control: Q‐Chart Enhancements and Alternative Methods’", Quality and Reliability Engineering International, Vol. 12, pp. 159-161.
25. Reynolds Jr, M. R., and Stoumbos, Z. G. (2004), "Control charts and the efficient allocation of sampling resources", Technometrics, Vol. 46, pp. 200-214.
26. Roes, K. C., Does, R. J. and Jonkers, B. S. (1999), "Effective Application of Q(R) Charts in Low‐Volume Manufacturing", Quality and Reliability Engineering International, Vol. 15, pp. 175-190.
27. Saleh, N. A., Mahmoud, M. A., Keefe, M. J. and Woodall, W. H. (2015), "The Difficulty in Designing Shewhart X̅ and X Control Charts with Estimated Parameters", Journal of Quality Technology, Vol. 47, pp. 127.
28. Sitt, C. K., Khoo, B. C., Shamsuzzaman, M. and Chen, C. (2014), "The Run Sum t Control Chart for Monitoring Process Mean Changes in Manufacturing", The International Journal of Advanced Manufacturing Technology, Vol. 70, pp. 1487-1504.
29. Snoussi, A., Ghourabi, M. E. and Limam, M. (2005), "On SPC for Short Run Autocorrelated Data", Communications in Statistics-Simulation and Computation®, Vol. 34, pp. 219-234.
30. Wen, C. J. and Zhao, L. (2012), "Study on Application of VSI Q Control Chart in Small-Batch Detection", Advanced Materials Research, Vol. 472, pp. 2458-2461.
31. Yang, M., Wu, Z., Lee, K. M. and Khoo, M. B. (2012), "The X Control Chart for Monitoring Process Shifts in Mean and Variance", International Journal of Production Research, Vol. 50, pp. 893-907.
32. Zantek, P. F. (2005), "Run-Length Distributions of Q-Chart Schemes", IIE transactions, Vol. 37, pp. 1037-1045.
33. Zantek, P. F. (2006), "Design of Cumulative Sum Schemes for Start-Up Processes and Short Runs", Journal of Quality Technology, Vol. 38, pp. 365-375.
34. Zhang, C., Xie, M. and Jin, T. (2012), "An Improved Self-Starting Cumulative Count of Conforming Chart for Monitoring High-Quality Processes under Group Inspection", International Journal of Production Research, Vol. 50, pp. 7026-7043.
35. Zhang, L., Chen, G. and Castagliola, P. (2009), "On t and EWMA t Charts for Monitoring Changes in the Process Mean", Quality and Reliability Engineering International, Vol. 25, pp. 933-945.
36. Zhu, L., Zhou, B. and Luo, W. (2010), "Weighted Q Control Chart Based on Difference-Declining Weight Parameters", Journal of Beijing University of Aeronautics and Astronautics, Vol. 7, pp. 027.
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