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Wu Kan


Wu Kan
AssistantProfessor
Tel: 6790 5584
Email: WUKan@ntu.edu.sg
Office: N3.2-02-07
   
Education
  • PhD (Industrial & Sys Eng) Georgia Institute of Technology 2009
  • MSc (IEOR) University of California at Berkeley 1996
  • BA (Nuclear Eng) National Tsing Hua University 1994

Biography
Kan Wu is an Assistant Professor with the School of Mechanical & Aerospace Engineering since Dec 2010. He received the B.S. degree from National Tsinghua University, M.S. degree from University of California at Berkeley, and Ph.D. degree in Industrial and Systems Engineering from Georgia Institute of Technology. He has ten years experience in the semiconductor industry, from a consultant to an IE manager. Before joining NTU, he was the CTO and founding team member of a startup company in the US. His PhD dissertation was awarded the 3rd place for the IIE Pritsker Doctoral Dissertation Award in 2010. His current research interests are primarily in the areas of queueing theory, with applications in the performance evaluation of supply chains and manufacturing systems.

Research
  • Interest:
    Manufacturing system performance evaluation, Queueing theory, Productivity enhancement, Production planning and scheduling, Supply chain management
  • Projects:
    Factory Design and Development for Low Volume High Reconfigurable Manufacturing Systems
    To realize the vision of Industry 4.0, the objective of this project is to support the requirement of low-volume & high-mix reconfigurable manufacturing systems through smart factory design and development. A cyber-physical production system will be developed to realize the vision of a smart factory.
    [Industrial Eng & Design]
    Move Target Setting for Semiconductor Fabs
    Develop a move target setting system through the simulation optimization approach for a 300mm semiconductor fab in Singapore.
    [Industrial Eng & Design]
    Patient Waiting Time Reduction in the Out-Patient Drug Dispensing Process
    To reduce the number of pharmacists and patient waiting time, a smart pharmacy complying with Industry 4.0 will be developed for the outpatient pharmacy in the Changi General Hospital, Medical Centre. The medication dispensing at the smart pharmacy will be assisted by a cyber physical system based on the applications of IoT and big data analytics.
    [Industrial Eng & Design]

Research Staff and Students under supervision

Research Staff
Name Title Email
Wu, Tsung Lin Research Fellow tlwu@ntu.edu.sg
Zhao, Yansong Research Associate billzhao@ntu.edu.sg

PhD Student
Name Project
Zhao, Hui Reducing Excess Production of the Active Pharmaceutical Ingredient During Early-Phase Development

Selected Publications
  • Wu, K., Y. Zhou and N. Zhao. (2016). Variability and the Fundamental Properties of a Production Line, Computer & Industrial Engineering, 99, 364-371.
  • Wu, K., N. Zhao, L. Gao and CKM Lee. (2016). Production Control Policy for Tandem Workstations with Constant Service Times and Queue time Constraints, International Journal of Production Research, 54(21), 6302-6316.
  • Wu, K., N. Zhao and CKM Lee. (2016). Queue Time Approximation for a Cluster Tool with Job Cascading. IEEE Transactions on Automation Science and Engineering, 13(2), 1200-1206.
  • Wu, K., and N. Zhao. (2015). Dependency among single server queues in series and Its applications in productivity improvement. European Journal of Operational Research, 247(1), 245-258.
  • Wu, K., and N. Zhao. (2015). Analysis of dual tandem queues with a finite buffer capacity and non-overlapping service times and subject to breakdowns. IIE Transactions, 47(12), 1329-1341.
  • Wu, K. (2014). Taxonomy of batch queueing models in manufacturing systems. European Journal of Operational Research, 237(1), 129-135.
  • Wu, K. (2014). Classification of queueing models for a workstation with interruptions: a review. International Journal of Production Research, 52(3), 902-917.
  • Wu, K., and L. McGinnis. (2013). Interpolation approximations for queues in series. IIE Transactions, 45(3), 273-290.
  • Wu, K., and L. McGinnis. (2012). Performance evaluation for general queueing networks in manufacturing systems: characterizing the trade-off between queue time and utilization. European Journal of Operational Research, 221(2), 328-339.
  • Wu, K., L. McGinnis, and B. Zwart. (2011). Queueing models for a single machine subject to multiple types of interruptions. IIE Transactions, 43(10), 753-759.
  • Wu, K., L. McGinnis, and B. Zwart. (2011). Approximating the performance of a batch service queue using the M/Mk/1 model. IEEE Transactions on Automation Science and Engineering, 8(1), 95-102.
  • Wu, K. and K. Hui. (2008). The determination and indetermination of service times in manufacturing systems.IEEE Transactions on Semiconductor Manufacturing, 21(1), 72-82.
  • Wu, K. (2005). An examination of variability and its basic properties for a factory. IEEE Transactions on Semiconductor Manufacturing, 18(1), 214-221.

Teaching
  • Operations Research
  • Engineering Mathematics
  • Systems Architecture And Life Cycle Analysis
  • Manufacturing Systems
  • Managing Research Projects