Fugee Tsung
Hong Kong University of Science and Technology, Hong Kong

Fugee Tsung is an Associate Professor in the Department of Industrial Engineering and Logistics Management at the Hong Kong University of Science and Technology. He received both his M.S. and Ph.D. degrees in industrial and operations engineering from the University of Michigan, Ann Arbor. He is an Associate Editor of Technometrics, a Department Editor of the IIE Transactions, and on the Editorial Boards of Quality and Reliability Engineering International (QREI), the International Journal of Reliability, Quality and Safety Engineering (IJRQSE), and the International Journal of Six Sigma and Competitive Advantage (IJSSCA). He is an ASQ Certified Six Sigma Black Belt, ASQ authorized Six Sigma Master Black Belt Trainer, and former Chair of the Quality, Statistics, and Reliability (QSR) Section at INFORMS. He is also the winner of the Best Paper Award for the IIE Transactions focus issue on quality and reliability, in 2003. His research interests include quality engineering and management, statistical process control, monitoring and diagnosis, and six sigma implementation.

Biography Updated on 6 May 2007

Articles in Scholarly Journals [Incomplete List]

  1. Detection and Diagnosis of Unknown Abrupt Changes Using CUSUM Multi-Chart Schemes
    Sequential Analysis, vol. 26, no. 3, pp. 225–249, 2007
  2. Pushing Quality Improvement Along Supply Chains
    Management Science, vol. 53, no. 3, pp. 421–436, 2007
  3. Applying manufacturing batch techniques to fraud detection with incomplete customer information
    IIE Transactions, vol. 39, no. 6, pp. 671–680, 2007
  4. Variable EWMA run-to-run controller for drifted processes
    IIE Transactions, vol. 39, no. 3, pp. 291–301, 2007
  5. A Reference-Free Cuscore Chart for Dynamic Mean Change Detection and a Unified Framework for Charting Performance Comparison
    Journal of the American Statistical Association, vol. 101, no. 473, pp. 368–386, 2006
  6. A Comparative Study of Joint Monitoring Schemes for APC Processes
    Quality and Reliability Engineering International, vol. 22, no. 8, pp. 939–952, 2006
  7. Quality, Statistics, and Reliability Cluster at INFORMS 2003
    Quality and Reliability Engineering International, vol. 21, no. 7, pp. iii–iv, 2005
  8. Using Profile Monitoring Techniques for a Data-rich Environment with Huge Sample Size
    Quality and Reliability Engineering International, vol. 21, no. 7, pp. 677–688, 2005
  9. Autocorrelated SPC for Non-Normal Situations
    Quality and Reliability Engineering International, vol. 21, no. 2, pp. 131–161, 2005
  10. Comparison of the cuscore, GLRT and cusum control charts for detecting a dynamic mean change
    Annals of the Institute of Statistical Mathematics, vol. 57, no. 3, pp. 531–552, 2005
  11. Effects of estimation errors on cause-selecting charts
    IIE Transactions, vol. 37, no. 6, pp. 559–567, 2005
  12. Dual CUSUM control schemes for detecting a range of mean shifts
    IIE Transactions, vol. 37, no. 11, pp. 1047–1057, 2005
  13. Adaptive time–frequency decomposition for transient vibration monitoring of rotating machinery
    Mechanical Systems and Signal Processing, vol. 18, no. 1, pp. 127–141, 2004
  14. Studying effects of screw-fastening process on assembly accuracy
    The International Journal of Advanced Manufacturing Technology, vol. 25, no. 5-6, pp. 493–499, 2004
  15. A DMAIC approach to printed circuit board quality improvement
    The International Journal of Advanced Manufacturing Technology, vol. 23, no. 7-8, pp. 523–531, 2004
  16. Design of Multiple Cause-Selecting Charts for Multistage Processes with Model Uncertainty
    Quality Engineering, vol. 16, no. 3, pp. 437–450, 2004
  17. A kernel-distance-based multivariate control chart using support vector methods
    International Journal of Production Research, vol. 41, no. 13, pp. 2975–2989, 2003
  18. Modelling and diagnosis of feedback-controlled processes using dynamic PCA and neural networks
    International Journal of Production Research, vol. 41, no. 2, pp. 365–379, 2003
  19. A study of variable ewma controller
    IEEE Transactions on Semiconductor Manufacturing, vol. 16, no. 4, pp. 633–643, 2003
  20. A mean-shift pattern study on integration of SPC and APC for process monitoring
    IIE Transactions, vol. 35, no. 3, pp. 231–242, 2003
  21. A generalized EWMA control chart and its comparison with the optimal EWMA, CUSUM and GLR schemes
    The Annals of Statistics, vol. 32, no. 1, pp. 316–339, 2003
  22. Process Capability Improvement for Multistage Processes
    Quality Engineering, vol. 15, no. 2, pp. 281–292, 2002
  23. IIE Transactions, vol. 34, no. 12, pp. 1043–1053, 2002
  24. Autocorrelated process monitoring using triggered cuscore charts
    Quality and Reliability Engineering International, vol. 18, no. 5, pp. 411–421, 2002
  25. Proportional Integral Derivative Charts for Process Monitoring
    Technometrics, vol. 44, no. 3, pp. 205–214, 2002
  26. Statistical monitoring and diagnosis of automatic controlled processes using dynamic PCA
    International Journal of Production Research, vol. 38, no. 3, pp. 625–637, 2000
  27. Impact of information sharing on statistical quality control
    IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, vol. 30, no. 2, pp. 211–216, 2000
  28. IIE Transactions, vol. 31, no. 6, pp. 517–527, 1999
  29. On the Efficiency and Robustness of Discrete Proportional-Integral Control Schemes
    Technometrics, vol. 40, no. 3, p. 214, 1998