Development of Clustering Technique and Genetic Algorithm to Monitor Multivariate Descriptive Processes based on Large-scale Nominal Contingency Tables (Case Study: Renewable Energy Process )

Subject Areas : Control Chart

Yaser Vahedi Geshniani ¹ , Bijan Rahmani ² , Reza Kamranrad ³

1 - Department of Industrial Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Industrial Engineering, Faculty of Technology and Engineering, Central Tehran Branch, Tehran, Iran.
3 - Department of industrial engineering, faculty of engineering, Semnan university, Semnan, Iran

Received: 2022-02-15 Accepted : 2023-01-02 Published : 2022-06-01

Keywords:

References:

[1] Amiri, A., Hakimi, A., Farughi, H., & Arkat, J. (2022). Phase I Monitoring of Multivariate Ordinal based Processes: The MR and LRT Approaches (A real case study in drug dissolution process). International Journal of Industrial Engineering and Production Research, 33(1).

[2] Farahani, A., Tohidi, H., Shoja, A. (2019). An integrated optimization of quality control chart parameters and preventive maintenance using Markov chain. Advances in Production Engineering & Management. 14(1), pp 5–14. https://doi.org/10.14743/apem2019.1.307

[3] Farahani, A., Tohidi, H., Shoja, A. (2020). Optimization of Overall Equipment Effectiveness with Integrated Modeling of Maintenance and Quality. Engineering Letters, 28(2),

[4] Greenacre ،M. (2007). Correspondence analysis in practice. CRC press.

[5] Hakimi, A., Farughi, H., Amiri, A., & Arkat, J. (2019). New phase II control chart for monitoring ordinal contingency table based processes. Journal of Industrial and Systems Engineering, 12(Statistical Processes and Statistical Modeling).

[6] Hakimi, A., Farughi, H., Amiri, A., & Arkat, J. (2021). Phase II Monitoring of the Ordinal Multivariate Categorical Processes. Advances in Industrial Engineering, 55(3), 249-267.

[7] Kamranrad, R., & Bashiri, M. (2015). A novel approach in multi response optimization for correlated categorical data., scientia Iranica, 1117-1129.
[8] Kamranrad, R., Amiri, A., & Niaki, S.T.A. (2017a). New Approaches in Monitoring Multivariate Categorical Processes based on Contingency Tables in Phase II. Quality and Reliability Engineering International, 33(5), 1105-1129.
[9] Kamranrad, R., Amiri, A., & Niaki, S.T.A. (2017b). Phase II monitoring and diagnosing of multivariate categorical processes using generalized linear testbased control charts, Communications in Statistics-Simulation and Computation, 46(8), 5951-5980.
[10] Kamranrad, R., Amiri, A., Niaki, S.T.A. (2019). “Phase‐I monitoring of log‐linear model‐based processes (a case study in health care: Kidney patients),” Quality and Reliability Engineering International. 35(6), 1766-1788.
[11] Li J., Tsung F., Zou C. (2012). Directional control schemes for multivariate categorical processes. Journal of Quality Technology. 44: 136-155.
[12] Li J., Zou C., Wang Z., Huwang L. (2013). A multivariate sign chart for monitoring process shape parameters. Journal of Quality Technology. 45: 149-165.
[13] Li, J., Tsung, F., & Zou, C. (2014a). Multivariate binomial/multinomial control chart. IIE Transactions, 46(5), 526-542.
[14] Li, J., Tsung, F., & Zou, C. (2014b). A simple categorical chart for detecting location shifts with ordinal information. International Journal of Production Research, 52(2), 550-562.
[15] Tsung F., Zou C. (2013). Statistical process control for multistage processes with binary outputs. IIE Transactions. 45: 1008- 1023.
[16] Wang, Y., Snee, R.D., Keyvan, G., Muzzio, F.J. (2016). “Statistical comparison of dissolution profiles,” Drug Development and Industrial Pharmacy. 42(5), pp. 796–807.
[17] Yamamoto, K., Murakami, H. Model based on skew normal distribution for square contingency tables with ordinal categories. Comput Stat Data Anal. (2014).
[18] Yashchin E. (2012). On detection of changes in categorical data. Quality Technology & Quantitative Management. 9: 79-96.
[19] Yeh A.B., Huwang L. and Li Y.M. (2009). Profile monitoring for a binary response. IIE Transactions, 41: 931-941.
[20] Zafar, S. (2017). Non-iterative Estimation Methods for Ordinal Log-linear Models. Doctoral dissertation, The University of Newcastle.