Professor Saowanit Sukparungsee, Ph.D.
Specialist : Statistical Process Control, Time Series Analysis and Forecasting, Statistical Modeling
Current Position
Lecturer of Applied Statistics,
King Mongkut’s University of Technology North Bangkok
Management Position
Chairperson of M.Sc. Program and Ph.D. Program in Applied Statistics,
King Mongkut’s University of Technology North Bangkok
Contact
Department of Applied Statistics,
The Faculty of Applied Science,
King Mongkut’s University of Technology North Bangkok
Phone : +66-2555-2000 Ext. 4927
E-mail : saowanit.s@sci.kmutnb.ac.th

Education / Experience
Publication / Academic
Research
Other Activities
Education / Experience
Education
Year of Graduation | Qualification | University |
2552 | Ph.D. (Mathematical Science) | University of Technology Sydney, Australia |
2543 | สต.ม. (สถิติ) | Chulalongkorn University, Thailand |
2540 | วท.บ. (สถิติ) | King Mongkut’s Institute of Technology North Bangkok, Thailand |
Experience
Year | Position / Department |
Publication / Academic
บทความตีพิมพ์ระดับนานาชาติ
- Saengsura, N., Areepong, Y., Sukparungsee, S. (2023) New Designing Mixed Double Moving Average-Cumulative Sum Control Chart for Detecting Mean Shifts with Symmetrically and Asymmetrically Distributed Observations, Applied Science and Engineering Progress, 16(4), 6527.
- Saesuntia, P., Areepong, Y., Sukparungsee, S. (2023) On the Average Run Lengths of Quality Control Schemes Using a Numerical Integral Equation Approach, Applied Science and Engineering Progress, 16(2), 5881.
- Petcharat, K., Sukparungsee, S. (2023) Development of a New MEWMA – Wilcoxon Sign Rank Chart for Detection of Change in Mean Parameter, Applied Science and Engineering Progress, 16(2), 5892.
- Talordphop, K., Areepong, Y., Sukparungsee, S. (2023) Monitoring of Mean Processes with Mixed Moving Average – Modified Exponentially Weighted Moving Average Control Charts, Applied Science and Engineering Progress, 16(4), 6498.
- Karoon, K., Areepong, Y., Sukparungsee, S. (2023) On the Performance of the Extended EWMA Control Chart for Monitoring Process Mean Based on Autocorrelated Data, Applied Science and Engineering Progress, 16(4), 6599.
- Karoon, K., Areepong, Y., Sukparungsee, S. (2023) Modification of ARL for detecting changes on the double EWMA chart in time series data with the autoregressive model, Connection Science, 35(1), 2219040.
- Talordphop, K., Sukparungsee, S., Areepong, Y. (2023) On designing new mixed modified exponentially weighted moving average – exponentially weighted moving average control chart, Results in Engineering, 18, 101152.
- Silpakob, K., Areepong, Y., Sukparungsee, S., Sunthornwat, R. (2023) Exact Average Run Length Evaluation for an ARMAX(p,q,r) Process Running on a Modified EWMA Control Chart, IAENG International Journal of Applied Mathematics, 53(1), IJAM_53_1_32.
- Talordphop, K., Sukparungsee, S., Areepong, Y. (2023) Mixed Tukey Exponentially Weighted Moving Average-Modified Exponentially Weighted Moving Average Control Chart for Process Monitoring, Emerging Science Journal, 7(3), pp. 854–866.
- Phantu, S., Areepong, Y., Sukparungsee, S. (2023) Average Run Length Formulas for Mixed Double Moving Average-Exponentially Weighted Moving Average Control Chart, Science and Technology Asia, 28(1), pp. 77–89.
- Saengsura, N., Sukparungsee, S., Areepong, Y. (2023) A New Nonparametric Tukey CUSUM-MA Control Chart for Detecting Mean Shifts, Thailand Statistician, 21(1), pp. 125–136.
- Taboran, R., Sukparungsee, S. (2023) On Designing of a New EWMA-DMA Control Chart for Detecting Mean Shifts and Its Application, Thailand Statistician, 21(1), pp. 148–164.
- Silpakob, K., Areepong, Y., Sukparungsee, S., Sunthornwat, R. (2023) A New Modified EWMA Control Chart for Monitoring Processes Involving Autocorrelated Data, Intelligent Automation and Soft Computing, 36(1), pp. 281–294.
- Karoon, K., Areepong, Y., Sukparungsee, S. (2022) Exact Solution of Average Run Length on Extended EWMA Control Chart for the First-Order Autoregressive Process, Thailand Statistician, 20(2), pp. 395–411.
- 15. Sasiwannapong, S., Sukparungsee, S., Busababodhin, P., Areepong, Y. (2022) The efficiency of constructed bivariate copulas for MEWMA and Hotelling’s T^2 control charts, Communications in Statistics: Simulation and Computation, 51(1), pp. 1837–1851.
- Karoon, K., Areepong, Y., Sukparungsee, S. (2022) Exact Run Length Evaluation on Extended EWMA Control Chart for Autoregressive Process, Intelligent Automation and Soft Computing, 33(2), pp. 743–759
- Saengsura, N., Sukparungsee, S., Areepong, Y. (2022) Mixed moving average-cumulative sum control chart for monitoring parameter change, Intelligent Automation and Soft Computing, 2022, 31(1), pp. 635–647
- Silpakob, K., Areepong, Y., Sukparungsee, S., Sunthornwat, R. (2021) Explicit analytical solutions for the average run length of modified EWMA control chart for ARX(p,r) processes, Songklanakarin Journal of Science and Technology, 2021, 43(5), pp. 1414–1427
- Phanthuna, P., Areepong, Y., Sukparungsee, S. (2021) Run length distribution for a modified EWMA scheme fitted with a stationary AR(p) model, Communications in Statistics: Simulation and Computation, In Press.
- Taboran, R., Sukparungsee, S., Areepong, Y. (2021) Design of a New Tukey MA-EWMA Control Chart to Monitor Process and Its Applications, IEEE Access, 9, pp. 102746–102757, 94902362021.
- Phanthuna, P., Areepong, Y., Sukparungsee, S. (2021) Exact run length evaluation on a two-sided modified exponentially weighted moving average chart for monitoring process mean, Computer Modeling in Engineering and Sciences, 127(1), pp. 23–41.
- Phanthuna, P., Areepong, Y., Sukparungsee, S. (2012) Detection capability of the modified EWMA chart for the trend stationary AR(1) model, Thailand Statistician, 19(1), pp. 70–81.
- Sukparungsee, S., Sasiwannapong, S., Busababodhin, P., Areepong, Y. (2021) The effects of constructed bivariate copulas on multivariate control charts effectiveness, Quality and Reliability Engineering International, 37(5), pp. 2156–2168.
- Phantu, S., Sukparungsee, S. (2020) A mixed double exponentially weighted moving average-Tukey’s control chart for monitoring of parameter change, Thailand Statistician, 18(4), pp. 392–402.
- Sasiwannapong, S., Sukparungsee, S., Busababodhin, P., Areepong, Y. (2020) Construction of bivariate copulas on a multivariate exponentially weighted moving average control chart, Mathematics and Statistics, 8(5), pp. 520–526.
- Nakakate, P., Sarikavanij, S., Sukparungsee, S. and Areepong, Y., (2020) Improving bivariate ranked set sampling with application to chi-square control chart, Thailand Statistician, 18(2), 108-121.
- Sukparungsee, S., Areepong, Y., and Taboran, R. (2020) Exponentially weighted moving average-Moving average charts for monitoring the process mean, PLoS ONE, 15(2), e0228208.
- Jampachaisri, K., Tinochai, K., Sukparungsee, S. and Areepong, Y., (2020) Empirical bayes based on squared error loss and precautionary loss functions in sequential sampling plan, IEEE Access, 8(20), 51460-51469.
- Tiengket, S. Sukparungsee, S., Busababodhin, P. and Areepong, Y. (2020) Construction of bivariate copulas on the hotelling’s T2 control chart, Thailand Statistician, 18(1), 1-15.
- Tinochai, K., Jampachaisri, K. Areepong, Y., and Sukparungsee, S. (2019) Empirical bayes prediction in a sequential sampling plan based on loss functions, Process, 7(12), 944.
- Bualuang, D., Areepong, Y. and Sukparungsee, S. (2019) ARL of CUSUM Control Schemes for ZIB Model when the Underlying Distribution is the Ratio of Two Poisson Means, Advances and Applications in Statistics, 52(4), 235-250.
- Tinochai, K., Sukparungsee, S. Jampachaisri, K., and Areepong, Y., (2019) Empirical Bayes in Skip Lot Sampling Plan V by Variables Sampling Plan, Engineering Letters, 27(2), 311319.
- Peerajit, W., Areepong, Y. and Sukparungsee, S. (2019) Explicit analytical solutions for ARL of CUSUM chart for a long-memory SARFIMA model, Communications in Statistics – Simulation and Computation, 48(4), 1176-1190.
- Sunthornwat, R., Areepong, Y., and Sukparungsee, S. (2018) Average Run Length with a Practical Investigation of Estimating Parameters of the EWMA Control Chart on the Long Memory AFRIMA Process, Thailand Statistician, Vol. 16, No. 2, 190-202.
- Sukparungsee, S., Phantu, S. and Areepong, Y. (2018) Explicit Formula of Average Run Length of Moving Average Control Chart for Poisson INMA(1) Process, Advances and Applications in Statistics, Vol. 52, No. 2, 97-119.
- Sukparungsee, S. (2018) An Approximation of Average Run Length using the Markov Chain Approach of a Generally Weighted Moving Average Chart for Monitoring the Number of Defects, Songklanakarin Journal of Science and Technology, Vol.39, No.6, Nov.-Dec. 2018.
- Saowanit Sukparungsee, Sasigran Kuvattana, Piyapart Busababodhin and Yupaporn Areepong. (2018) Bivariate Copulas on the Hotelling’s T2 Control Chart, Communications in Statistics – Simulation and Computation, 47(2), 413-419.
- Suganya Phantu, Saowanit Sukparungsee and Yupaporn Areepong. (2018) DMA Chart Monitoring of the First Integer-Valued Autoregressive Processes of Poisson Counts, Advances and Applications in Statistics, 52(2), 97-119.
- Sukparungsee, S. (2018) Average Run Length of Cumulative Sum Control Chart by Markov Chain Approach for Zero-Inflated Poisson Processes, Thailand Statistician, 16(1), 8-16.
- Peerajit, W., Areepong, Y., and Sukparungsee, S. (2017) Analytical Explicit Formulas of Average Run Length for Long Memory Process with ARFIMA Model on CUSUM Control Chart, Songklanakarin Journal of Science and Technology, Vol. 39, No. 6, 779-786.
- Sunthornwat, R., Areepong, Y., and Sukparungsee, S. (2018) Average Run Length of the Long-memory Autoregressive Fractionally Integrated Moving Average Process of the Exponential Weighted Moving Average Control Chart, Cogent Mathematics, Vol. 4, Article Number: 1358536, Published: AUG 3 2017.
- Sunthornwat, R., Areepong, Y., and Sukparungsee, S. (2018) Average Run Length of the Long-memory Autoregressive Fractionally Integrated Moving Average Process of the Exponential Weighted Moving Average Control Chart, Cogent Mathematics, Vol. 4, Article Number: 1358536, Published: AUG 3 2017
- Sunthornwat, R., Areepong, Y., and Sukparungsee, S. (2018) Analytical and Numerical Solutions of Average Run Length Integral Equations for an EWMA Control Chart over a Long Memory SARFIMA Process, Songklanakarin Journal of Science and Technology, In press.
- Bualuang, D., Areepong, Y., and Sukparungsee, S., (2017) Explitcit Expressions of Average Run Length of Double Moving Average Control Chart fot ZIB Models when the Underlying is Ratio of Two Poisson Means, Advances and Applications in Statistics, 51(3), 187-204.
- Raweesawat, K., Areepong, Y., Jampachaisri, K. and Sukparungsee, S. (2017) Odds ratio estimation in rare data by empirical Bayes method, Thailand Statistician, 15(2), 149 – 156.
- Areepong, Y. and Sukparungsee, S. (2017) Explicit Formulas of Average Run Length of Cumulative Sum Control Chart for Autoregressive Integrated Moving Average with Exogenous Variable Model, Advances and Applications in Statistics, 50(1), 21-36.
- Sukparungsee, S., Kuvattana, S., Busababodhin, P. and Areepong, Y., (2017) Multivariate copulas on the MCUSUM control chart, Cogent Mathematics, Volume: 4 Article No.: 1342318 Published: Jul 7 2017, https://doi.org/10.1080/23311835.2017.1342318
- Raweesawat, K., Areepong, Y., Jampachaisri, K. and Sukparungsee, S. (2016) Odds Ratios Estimation of Rare Event in Binomial Distribution, Journal of Probability and Statistics, vol. 2016, Article ID 3642941, 8 pages, doi:10.1155/2016/3642941
- Kuvattana, S., Sukparungsee, S., Areepong, Y., and Busababodhin, P. (2016) Bivariate Copulas on the Exponentially Weighted Moving Average Control Chart, Songklanakarin Journal of Science and Technology, 38(5) (Sept.-Oct.), 569 – 574.
- Sukparungsee, S. and Mititelu, G. (2016) A Modified Poisson Exponentially Weighted Moving Average Chart Based on Improved Square Root Transformation, Thailand Statistician, 14(2), 197 – 202.
- Peerajit, W., Areepong, Y., and Sukparungsee, S. (2016) Numerical integral equation method of average run length of cumulative sum control chart for long memory process with ARFIMA model, Lecture Notes in Engineering and Computer Science, 2: 852-855.
- Phantu, S., Areepong, Y. and Sukparungsee, S. (2016) Explicit expressions of average run length of moving average control chart for Poisson integer valued autoregressive model, Lecture Notes in Engineering and Computer Science, 2: 892-895.
- Areepong, Y. and Sukparungsee, S. (2016) Approximation average run lengths of zero-inflated binomial gwma chart with Markov chain approach, Far East Journal of Mathematical Sciences, 99(3): 413-428.
- Sukparungsee, S., Somran, S., and Areepong, Y., (2016) Exact Expression of Average Run Length for Two-sided Exponential CUSUM Procedure., Advances and Applications in Statistics, 48(6), 429-444.
- Somran, S., Sukparungsee, S., and Areepong, Y., (2016) Analytic and Numerical Solutions of ARL of CUSUM Procedure for Exponentially Distributed Observations, Thailand Statistician, 14(1), 249-258.
- Somran, S., Sukparungsee, S., and Areepong, Y., (2016) Analytic and Numerical Solutions of ARL of CUSUM Procedure for Exponentially Distributed Observations, Thailand Statistician, 14(1), 249-258.
- Areepong, Y. and Sukparungsee, S. (2015) Explicit formulas of average run length for arima (P, d, q) (P, D, Q)L process of cusum control chart, Far East Journal of Mathematical Sciences, 98(8): 1021-1033.
- Busababodin, P., Areepong, Y., Sukparungsee, S. (2015) Analytical expression of ARL of CUSUM chart for trend AR(P) process, Far East Journal of Mathematical Sciences, 98(6): 777-796.
- Kuvattana, S., Sukparungsee, S. Busababodhin, P. and Areepong, Y. (2015) Efficiency of bivariate copula on the CUSUM chart, Lecture Notes in Engineering and Computer Science, 2: 829-832.
- Petcharat, K., Sukparungsee, S. and Areepong, Y. (2015) Exact solution of the average run length for the cumulative sum chart for a moving average process of order q, Science Asia, 41(2): 141-147.
- Rendao, Y., Wang, T., Sukparungsee, S., and Gupta, Arjun K. (2015) Tests in variance components models under skew-normal settings, Metrika, DOI 10.1007/s00184-015-0532-1.
- Busababodin, P., Areepong, Y., and Sukparungsee, S. (2015) Analytical expression of ARL for AR(P) on exponential CUSUM procedure, Far East Journal of Mathematical Sciences, 97(7): 905-924.
- Areepong, Y. and Sukparungsee, S. (2015) Explicit Expression for the Average Run Length of Double Moving Average Scheme for Zero-Inflated Binomial Process, International Journal of Applied Mathematics and Statistics, 53(3): 34-43.
- Phengsalae, Y., Areepong, Y. and Sukparungsee, S. (2015) An Approximation of ARL for Poisson GWMA Using Markov Chain Approach, Thailand Statistician, 13(1): 111-124.
- Sukparungsee, S. and Areepong, Y. (2015) Combined Forecasting for Epidemiology Surveillance Trend, International Journal of Applied Mathematics and Statistics, 53(2): 148-159.
- Chananet, C., Areepong, Y., and Sukparungsee, S. (2015) A Markov Chain Approach for Average Run Length of EWMA and CUSUM Control Chart Based on ZINB Model, International Journal of Applied Mathematics and Statistics, 53 (1): 126-137.
- Chananet, C., Areepong, Y., and Sukparungsee, S., (2015) An Approximate Formula for ARL in Moving Average Chart with ZINB Data, Thailand Statistician, 13(2), 209-222.
- Paichit, S., Areepong, A., and Sukparungsee, S., (2014) Exact Expression of Average Run Length of EWMA Chart for SARMA (P, D, Q)L Procedure, International Journal of Applied Mathematical and Statistics, 52(9), 62-73.
- Sukparungsee, S. and Areepong, Y. (2014) Exact Average Run Length of Double Moving Control Chart, International Journal of Applied Mathematics and Statistics, 52(2): 159-168.
- Paichit, P., Areepong, Y., Sukparungsee, S. (2014) Numerical Integration of Average Run Length of CUSUM Control Chart for ARMA Process, International Journal of Applied Physics and Mathematics, Vol. 4, No. 4, July 2014.
- Phanyaem, S., Areepong, Y., Sukparungsee, S. (2014) Numerical Integration of Average Run Length of CUSUM Control Chart for ARMA Process, International Journal of Applied Physics and Mathematics; 4(4): 232-235 doi:10.7763/ijapm.2014.v4.289.
- Chananet C, Sukparungsee S, Areepong Y. (2014) The ARL of EWMA chart for monitoring ZINB model using Markov chain approach. International Journal of Applied Physics and Mathematics; 4(4):236. doi:10.7763/ijapm.2014.v4.290.
- Sukparungsee, S. (2014) Martingale approach for closed-form expression of average run length on EWMA chart for detection of a change in number of defects, Far East Journal of Mathematical Sciences, 92(2): 141-156.
- Phanyaem, S., Areepong, Y., Sukparungsee, S. (2014) Explicit formulas of average run length for ARMA(1,1) process of CUSUM control chart, Far East Journal of Mathematical Sciences, 90(2): 211-224.
- Petcharat, K., Areepong, Y. Sukparungsee, S. and Mititelu, G., (2014) Exact solution for average run length of cusum charts for MA(1) process, Chiang Mai Journal of Science, 41(5.2): 1449-1456.
- Paichit, P., Areepong, Y., Sukparungsee, S. (2014) Average run length of EWMA chart for SARMA (P, Q)L processes, International Journal of Applied Mathematics and Statistics, 80(1): 85-103.
Research
Other Activities