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A Simulation Study on Control Chart Performances in Monitoring Batch Production Processes

Title:

A Simulation Study on Control Chart Performances in Monitoring Batch Production Processes

Hooshyar Telegraphi, Amirreza ORCID: https://orcid.org/0000-0002-3081-3868 (2016) A Simulation Study on Control Chart Performances in Monitoring Batch Production Processes. Masters thesis, Concordia University.

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Abstract

Quality control charts are graphical tools for monitoring quality characteristics of manufacturing or service systems. Control charts have been applied in many manufacturing systems such as long-run production and short-run production since 1931. It is worth noting that less research is done in applying control charts in batch production and job-shop manufacturing. In this thesis, numerical simulation is used to find appropriate control charts in batch production. For quality improvement in such or similar processes, different control charts for batch production, e.g. x ̅ chart, x ̅ chart with Western Electric Rules, Q chart, EWMA Q chart, T chart, EWMA T chart, and Schewhart sign chart are simulated and assessed. The main task of this thesis is to study control charts capabilities to detect mean shifts of the considered processes.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Mechanical and Industrial Engineering
Item Type:Thesis (Masters)
Authors:Hooshyar Telegraphi, Amirreza
Institution:Concordia University
Degree Name:M. Sc.
Program:Industrial Engineering
Date:20 September 2016
Thesis Supervisor(s):Chen, Mingyuan
Keywords:Key Words: statistical quality control, batch production, control charts, process mean, numerical simulation
ID Code:981874
Deposited By: AMIRREZA HOOSHYAR TELEGRAPHI
Deposited On:08 Nov 2016 15:19
Last Modified:18 Jan 2018 17:54

References:

1- Avakh Darestani, S. and Aminpour, N. (2014), "Short-Run Control Chart for Multiproduct with Multi-Items Based on Unequal Means and Variances", Journal of Quality & Reliability Engineering, Vol. 23, pp. 1-4.
2- Amin, R.W., Reynolds Jr, M. R., and Bakir, S. (1995), "Nonparametric quality control charts based on the sign statistic." Journal of Communications in Statistics-Theory and Methods, vol.24, pp. 1597-1623.
3- Browne, J., Harhen, J. and Shivnan J. (1996), Production management systems: an integrated perspective. Addison-Wesley.
4- 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.
5- Castagliola, P., Celano, G., Fichera, S. and George Nenes. (2013), "Variable Sample Size T Control Chart for Monitoring Short Production Runs", International Journal of Advanced Manufacturing Technology, Vol. 66, pp. 1353-1366.
6- Castagliola, P., Zhang, Y., Costa, A. and Maravelakis, P. (2012), "The variable sample size X ̅ chart with Estimated Parameters", Quality and Reliability Engineering International, Vol. 28, pp. 687-699.
7- 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.
8- 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.
9- 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.
10- 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.
11- 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.
12- Celano, G., Castagliola, P., Chakraborti, S. and Nenes, G. (2015), “Performance of the Shewhart Sign Control Chart for Finite Horizon Processes" The International Journal of Advanced Manufacturing Technology, In Press, pp. 1-16.
13- Champ, C. W. and Woodall, W. H. (1987), "Exact Results for Shewhart Control Charts with Supplementary Runs Rules", Technometrics, Vol.29, pp. 393-399.
14- 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.
15- 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.
16- 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.
17- 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.
18- Jensen, W. A., Rex Bryce, G. and Reynolds, M. R. (2008), "Design Issues for Adaptive Control Charts" Quality & Reliability Engineering International, Vol. 24, pp. 429-445.
19- 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.
20- 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.
21- Lampreia, S. and Requeijo, J. and Matos, A.S. "Road Map to the Statistical Process Control." Proceedings of the 8th International Conference on Management Science and Engineering Management. Springer Berlin Heidelberg, 2014.

22- 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.
23- Li, Z. and Wang, Z. (2010), "Adaptive CUSUM of the Q Chart", International Journal of Production Research, Vol. 48, pp. 1287-1301.
24- 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.
25- 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.
26- Lim, S. L., Michael B. C. Khoo, W. L. Teoh, and M. Xie. (2015), "Optimal Designs of the Variable Sample Size and Sampling Interval X ̅Chart When Process Parameters Are Estimated", International Journal of Production Economics, Vol. 166, pp. 20-35.
27- 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.
28- 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, Qinhuangdao, China.

29-Maynard, H. B., Zandin, B. K. (2001), Maynard's industrial engineering handbook.
30- Montgomery, D. C. (2013), Introduction to Statistical Quality Control, John Wiley & Sons.
31- Noorossana, R., Deheshvar, A. and Shekary, M. A. (2015), "A Modified Variable Sample Size and Sampling Interval Control Chart", International Journal of Advanced Manufacturing Technology, Vol. 80, pp. 1-10.
32- 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.
33- 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.
34- Quesenberry, C. P. (1995), "On Properties of Q Charts for Variables", Journal of Quality Technology, Vol. 27, pp. 184-203.
35- 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.
36- Reynolds Jr, M. R., and Stoumbos, Z. G. (2004), "Control Charts and the Efficient Allocation of Sampling Resources", Technometrics, Vol. 46, pp. 200-214.
37- 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.
38- 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.
39- 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.
40- Snoussi, A., Ghourabi, M. E. and Limam, M. (2005), "On SPC for Short Run Auto correlated Data", Communications in Statistics-Simulation and Computation®, Vol. 34, pp. 219-234.
41- Theroux, E., Galarneau, Y. and Chen, M, (2014) "Control Charts for Short Production Runs in Aerospace Manufacturing." SAE International Journal of Materials & Manufacturing, Vol. 7, pp. 65-72.
42- 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.
43- 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.
44- Zantek, P. F. (2005), "Run-Length Distributions of Q-Chart Schemes", IIE transactions, Vol. 37, pp. 1037-1045.
45- 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.
46- 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.
47- 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.
48- 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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