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Staff Profile

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Dr Lee Ming Ha

Senior Lecturer
BTech (Hons) (USM) GradCert (Swinburne) MsC (UPM) PhD (USM)

Faculty of Engineering, Computing and Science

Office No:+60 82 260 647
Fax No:+60 82 260 813
Room No: E206, Building E, FECS
Email: mhlee@swinburne.edu.my
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Biography

Ming Ha received her MSc degree in Applied Statistics from Universiti Putra Malaysia. She received her PhD degree in Statistics from Universiti Sains Malaysia. Ming Ha worked as a lecturer in a private college, where she was teaching Mathematics for Matriculation and Business Statistics for undergraduate level. Ming Ha joined the School of Engineering, Swinburne University of Technology (Sarawak Campus) (SUTS) as a Lecturer in January 2007.

Research Interests

  • Statistical Process Control;

Professional Memberships

  • Graduate Technologist, Malaysia Board of Technologists

  • Publications

Publications

  • Journal paperLee M. H. and Khoo M. B. C. “Double Sampling Xbar Chart with Estimated Process Parameter”, Communication in Statistics – Simulation and Computation, accepted for publication, doi: 10.1080/03610918.2019.1599017.
  • Journal paperLee M. H. and Khoo M. B. C. “Economic-Statistical Design of Synthetic Double Sampling T^2 Chart”, Communication in Statistics – Theory and Methods, accepted for publication, doi: 10.1080/03610926.2018.1523428.
  • Journal paperKhatun M., Khoo M. B. C., Lee M. H. and Castagliola P. (2019) “One-sided Control Charts for Monitoring the Multivariate Coefficient of Variation in Short Production Runs”, Transactions of the Institute of Measurement and Control, vol. 41, no. 6, pp. 1712-1728, doi: 10.1177/0142331218789481.
  • Journal paperLee M. H. and Khoo M. B. C. (2019) “The Economic and Economic-Statistical Designs of Synthetic Double Sampling Xbar Chart”, Communications in Statistics – Simulation and Computation, vol. 48, no. 8, pp. 2313-2332, doi: 10.1080/03610918.2018.1455869.
  • Journal paperLee M. H. (2019) “Comparative Study of Adaptive Multivariate EWMA Control Charts”, International Journal of Industrial Engineering: Theory, Applications and Practice, vol. 22, no. 6, pp. 610-624.
  • Journal paperSajal S., Khoo M. B. C., Lee M. H. and Haq A. (2019) “A Variable Sample Size and Sampling Interval Control Chart for monitoring the Process Mean by using Auxiliary Information”, Quality Technology & Quantitative Management, vol. 16, no. 4, pp. 389-406, doi: 10.1080/16843703.2018.1430523.
  • Journal paperTan P. H., Lee M. H. and Wong MLD (2018) “Economic-statistical Design of Synthetic Xbar Chart for Monitoring Process Mean under Non-normality”, Indian Journal of Science and Technology, vol. 11, no. 45, doi: 10.17485/ijst/2018/v11i45/138545.
  • Journal paperLee M. H. and Khoo M. B. C. (2018) “Economic-statistical Design of Xbar Control Chart with Runs Rules for Correlation Within Sample”, Communications in Statistics – Simulation and Computation, vol. 47, no. 10, pp. 2849-2864, doi: 10.1080/03610918.2017.1361977.
  • Journal paperSajal S., Khoo M. B. C., Lee M. H. and Castagliola P. (2018) “A Side-Sensitive Modified Group Runs Double Sampling (SSMGRDS) Control Chart for Detecting Mean Shifts”, Communications in Statistics – Simulation and Computation, vol. 47, no. 5, pp. 1353-1369, doi: 10.1080/03610918.2017.1311918.
  • Journal paperLee M. H. and Khoo M. B. C. (2018) “Economic-Statistical Design of Double Sampling s Control Chart”, International Journal of Quality Research, vol. 12, no. 2, pp. 337-362, doi: 10.18421/IJQR12.02-04.
  • Journal paperLee M. H. and Siti Jamilah M. H. A. (2018) “Statistically Constrained Economic Design of Variable Parameters Max Chart”, Journal of Fundamental and Applied Sciences, vol. 10, no. 6S, pp. 692-708, doi: 10.4314/jfas.v10i6s.26.
  • Lee M. H. and Khoo M. B. C. (2018) “Double Sampling |S| Control Chart with Variable Sample Size and Variable Sampling Interval”, Communications in Statistics – Simulation and Computation, vol. 47, no. 2, pp. 615-628, doi:  10.1080/03610918.2017.1288246.
  • Journal paperLee M. H. and Khoo M. B. C. (2018) “Economic-statistical Design of Synthetic Max Chart”, Quality Technology & Quantitative Management, vol. 15, no. 3, pp. 301-327, doi: 10.1080/16843703.2016.1208492.
  • Journal paper S. Sajal, M. B. C. Khoo, W. L. Teoh, and M. H. Lee. “Rum Sum Xbar Control Chart with Estimated Process Parameters”, Quality and Reliability Engineering International, 33 pp 1885-1899. doi: 10.1002/qre.2153, 2017. [SCI]
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Combined Double Sampling and Variable Sampling Interval np Chart”, Communications in Statistics – Theory and Methods, 46 pp 11892-11917. doi: 10.1080/03610926.2017.1285924, 2017. [SCI]
  • Journal paper S. Y. Nyau, M. H. Lee, and W. L. D. Wong. “Optimal Statistical Design of Variable Sample Size Multivariate Exponentially Weighted Moving Average Control Chart Based on Median Run-Length”, Quality Technology & Quantitative Management, 14 pp 478-495. doi: 10.1080/16843703.2017.1304041, 2017. [SCI]
  • Journal paper H. W. You, M. B. C. Khoo, M. H. Lee, and P. Castagliola. “Optimal Design of Exponentially Weighted Moving Average (EWMA) Xbar Chart for the Mean with Estimated Process Parameters”, Communications in Statistics – Theory and Method, 46 pp 11077-11090. doi: 10.1080/03610926.2016.1257716, 2017. [SCI]
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Double Sampling Max Chart”, Communications in Statistics – Simulation and Computation, 46 pp 7855-7878. doi: 10.1080/03610918.2016.1255965, 2017. [SCI]
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Optimal Design of Synthetic np Control Chart based on Median Run Length”, Communication in Statistics – Theory and Methods, 46 pp 8544-8556. doi: 10.1080/03610926.2016.1183790, 2017. [SCI]
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Combined Synthetic and |S| Chart for Monitoring Process Dispersion”, Communications in Statistics – Simulation and Computation, 46 pp 5698-5711. doi: 10.1080/03610918.2016.1171349, 2017. [SCI]
  • Journal paper Z. L. Chong, M. B. C. Khoo, M. H. Lee, and C. H. Chen. “Group Runs Revised m-of-k runs rule control chart”, Communications in Statistics – Theory and Methods, 46 pp 6916-6935. doi: 10.1080/03610926.2016.1140779, 2017. [SCI]
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Synthetic Double Sampling s Chart”, Communications in Statistics – Theory and Methods, 46 pp 5914-5931. doi: 10.1080/03610926.2015.1115073, 2017. [SCI]
  • Journal paper W. C. Yeong, M. B. C. Khoo, S. L. Lim, and M. H. Lee. “A Direct Procedure for Monitoring the Coefficient of Variation using a Variable Sample Size Scheme”, Communications in Statistics – Simulation and Computation, 46 pp 4210-4225. doi: 10.1080/03610918.2015.1109659, 2017. [SCI]
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Optimal Design of Multivariate Synthetic |S| Control Chart based on Median Run Length”, Communication in Statistics – Theory and Methods, 46 pp 3034-3053. doi: 10.1080/03610926.2015.1048884, 2017. [SCI]
  • Journal paper S. Y. Nyau, M. H. Lee, and M. L. D. Wong. “A Variable Sampling Interval Multivariate Exponentially Weighted Moving Average Control Chart based on Median Time-To-Signal”, Journal of Telecommunication Electronic and Computer Engineering, 9 pp 115-118, 2017.
  • Journal paper X. Y. Chew, M. B. C. Khoo, S. Y. Teh, and M. H. Lee, “The Run Sum Hotelling’s T^2 Control Chart with Variable Sampling Intervals”, Quality and Reliability Engineering International, 32 pp 2573-2590. doi: 10.1002/qre.1960, 2016. [SCI]
  • Journal paper W. L. Teoh, M. B. C. Khoo, P. Castagliola, and M. H. Lee. “The Exact Run Length Distribution and Design of the Shewhart Xbar Chart with Estimated Parameters Based On Median Run Length”, Communications in Statistics – Simulation and Computation, 45 pp 2081-2103. doi: 10.1080/03610918.2014.889158, 2016. [SCI]
  • Journal paper M. B. C. Khoo, S. L. Lim, W. C. Yeong and M. H. Lee. “Economic and Economic-statistical Designs of the Side Sensitive Group Runs Chart”, Computers & Industrial Engineering, 90 pp 314-325. doi:10.1016/j.cie.2015.10.008, 2015. [SCI]
  • Journal paper L. Y. Lee, M. B. C. Khoo, S. Y. The and M. H. Lee. “A variable sampling interval Synthetic Xbar Chart for the Process Mean”, PLOS One, 10, e0126331. doi: 10.1371/journal.pone.0126331, 2015. [SCI]
  • Journal paper H. W. You, M. B. C. Khoo, M. H. Lee, and P. Castagliola. “Synthetic Double Sampling Xbar Chart with Estimated Parameters”, Quality Technology & Quantitative Management, 12 pp 555-580. doi: 10.1080/16843703.2015.11673437, 2015. [SCI]
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Variable Sampling Interval Cumulative Count of Conforming Chart with Runs Rules”, Communications in Statistics – Simulation and Computation, 49 pp 2410-2430. doi: 10.1080/03610918.2013.839035, 2015. [SCI]
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Multivariate Synthetic |S| Control Chart with Variable Sampling Interval”, Communications in Statistics – Simulation and Computation, 44 pp 924-942. doi: 10.1080/03610918.2013.796980, 2015. [SCI]
  • Journal paper M. H. Lee, M. B. C. Khoo and M. Xie. “An Optimal Control Procedure Based on Multivariate Synthetic Cumulative Sum”, Quality and Reliability Engineering International, 30 pp 1049-1058. doi: 10.1002/qre.1533, 2014. [SCI]
  • Journal paper M. H. Lee, and M. B. C. Khoo. “The Synthetic Mean Square Error Control Chart”, Communications in Statistics – Simulation and Computation, 43 pp. 1523-1542. doi: 10.1080/03610918.2012.735321, 2014. [SCI]
  • Journal paper W. C. Yeong, M. B. C. Khoo, M. H. Lee, and M. A. Rahim. “Economically Optimal Design of a Multivariate Synthetic T^2 Chart”, Communications in Statistics – Simulation and Computation, 43 pp. 1333-1361. doi: 10.1080/03610918.2012.731122, 2014. [SCI]
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Design of A Multivariate Exponentially Weighted Moving Average Control Chart with Variable Sampling Intervals”, Computational Statistics, 29 pp 189-214. doi: 10.1007/s00180-013-0443-4, 2014. [SCI]
  • Journal paper M. B. C. Khoo, M. H. Lee, W. L. Teoh, J. Y. Liew, and S. Y. Teh. “The Effects of Parameter Estimation on Minimizing the In-control Average Sample Size for the Double Sampling Xbar Chart”, South African Journal of Industrial Engineering, 23 pp 58-67. doi: 10.7166/24-3-555, 2013. [SCI]
  • Journal paper M. H. Lee. “Variable Sample Size and Sampling Intervals with Fixed Times Hotelling’s T^2 Chart”, International Journal of Industrial Engineering – Theory, Applications and Practice, 20 pp 309-316, 2013. [SCI]
  • Journal paper Y. Y. Fang, M. B. C. Khoo, and M. H. Lee. “Synthetic-type Control Charts for Time-Between-Events Monitoring”, PLOS ONE 8 e65440. doi: 10.1371/journal.pone.0065440, 2013. [SCI]
  • Journal paper W. C. Yeong, M. B. C. Khoo, M. H. Lee, MH and M. A. Rahim. “Economic and Economic Statistical Designs of the Synthetic Xbar Chart using Loss Functions”, European Journal of Operational Research, 228 pp 571-581. doi: 10.1016/j.ejor.2013.02.021, 2013. [SCI]
  • Journal paper M. B. C. Khoo, W. L. Teoh, P. Castagliola, and M. H. Lee. “Optimal Design of the Double Sampling Xbar Chart with Estimated Parameters”, International Journal of Production Economics, 144 pp 345-357. doi: 10.1016/j.ijpe.2013.02.022, 2013. [SCI]
  • Journal paper M. H. Lee. “Variable Sampling Rate Multivariate Exponentially Weighted Moving Average Control Chart with Double Warning Lines”, Quality Technology & Quantitative Management, 10 pp 353-368. doi: 10.1080/16843703.2013.11673420, 2013. [SCI]
  • Journal paper M. H. Lee. “Adaptive Hotelling’s T^2 Control Charts with Run Rules”, Communications in Statistics – Theory and Methods, 42 pp 883-897. doi: 10.1080/03610926.2011.586487, 2013. [SCI]
  • Journal paper M. H. Lee. “The Design of the Multivariate Synthetic Exponentially Weighted Moving Average Control Chart”, Communications in Statistics – Simulation and Computation, 41 pp.1785-1793. doi: 10.1080/03610918.2011.620205, 2012. [SCI]
  • Journal paper M. H. Lee. “Variable Sampling Rate Hotelling’s T^2 Control Chart with Runs Rules”, South African Journal of Industrial Engineering, 23 pp 122-129. doi: 10.7166/23-1-224, 2012. [SCI]
  • Journal paper M. H. Lee. “Economic Design of Cumulative Sum Control Chart for Non-normally Correlated Data”, MATEMATIKA, 27 pp 79-96. doi: 10.11113/matematika.v27.n.298, 2011.
  • Journal paper Lee Ming Ha, Edith Lim Ai Ling, Balakrishnan Muniapan & Margerat Lucy Gregory. “General Enterprising Tendency (GET) and Recommendations to Boost Entrepreneurship Education in Sarawak”, International Journal of Asian Business and Information Management, 2 pp 32-47. doi: 10.4018/978-1-4666-2652-2.ch010, 2011.
  • Journal paper M. H. Lee. “Economic Design of Cumulative Sum Control Charts for Monitoring a Process with Correlated Samples”, Communications in Statistics – Simulation and Computation, 39 pp 1909-1922. doi: 10.1080/03610918.2010.524333, 2010. [SCI]
  • Journal paper M. H. Lee. “Multivariate EWMA Control Chart with Adaptive Sample Sizes”, Communications in Statistics – Simulation and Computation, 39 pp 1548-1561. doi: 10.1080/03610918.2010.507897, 2010. [SCI]
  • Journal paper M. H. Lee. “Variable Sampling Interval Hotelling’s T^2 Chart with Sampling at Fixed Times”, Journal of the Chinese Institute of Industrial Engineers, 27 pp 394-406. doi: 10.1080/10170669.2010.507371, 2010.
  • Journal paper M. H. Lee. “Multivariate EWMA Charts with Variable Sampling Intervals”, Economic Quality Control, 24 pp 231-241. doi: 10.1515/EQC.2009.231, 2009.
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Optimal Statistical Design of a Multivariate CUSUM Chart based on ARL and MRL”, International Journal of Reliability, Quality and Safety Engineering, 13 pp 479-497. doi: 10.1142/S0218539306002380, 2006.
  • Journal paper M. H. Lee, and M. B. C. Khoo. “Optimal Statistical Design of a Multivariate EWMA Chart based on ARL and MRL”, Communications in Statistics – Simulation and Computation, 35 pp 831-847. doi: 10.1080/03610910600716779, 2006. [SCI]
  • Conference paper S. Y. Nyau, M. H. Lee, and M. L. D. Wong, “A Variable Sampling Interval Multivariate Exponentially Weighted Moving Average Control Chart based on Median Time-To-Signal”, Silver Jubilee Conference 2017, Kuching, Malaysia.
  • Conference paper Y. C. Tan, M. H. Lee, and W. W. Lam, “An Improved Switching Rule in Variable Sampling Interval Hotelling’s T^2 Control Chart”, IEEE International Conference on Industrial Engineering and Engineering Management, pp 1412-1416, 6-9 December 2015, Singapore, doi:10.1109/IEEM.2015.7385880.
  • Conference paper M. H. Lee, Y. C. Tan and W. W. Lam, “A Combined Synthetic and Generalized Variance Control Chart for Bivariate Case”, IEEE International Conference on Industrial Engineering and Engineering Management, pp 386-390, 6-9 December 2015, Singapore, doi:10.1109/IEEM.2015.7385674.
  • Conference paper C. J. Chong, and M. H. Lee, “The Bivariate Generalized Variance |S| control chart with runs rules”, IEEE International Conference on Industrial Engineering and Engineering Management, pp 1448-1452, 10-13 December 2013, Bangkok, Thailand, doi:10.1109/IEEM.2013.6962650.