Leyuan Shi

Professor

3250 Mechanical Engineering Building
1513 University Avenue
Madison, WI 53706

Ph: (608) 265-5969
Fax: (608) 262-8454
leyuan@engr.wisc.edu


Profile Summary

Professor Shi's research has been in developing theory and methodology for design and optimization of complex systems such as supply chain networks, manufacturing systems and communication networks. Her interest in this area has spanned three levels: semantic modeling and design of systems, sensitivity analysis via discrete-event simulation, and control and optimization.

Education

  • BS 1982, mathematics, Nanjing Normal University, Nanjing, China
  • MS 1985, applied mathematics, Tsinghua University, Beijing, China
  • MS 1990, applied mathematics, Harvard University
  • PhD 1992, applied mathematics, Harvard University

Research Interests

  • simulation modeling
  • large-scale optimization
  • supply chain optimization
  • production planning and scheduling

Awards, Honors and Societies

  • IEEE Fellow

Publications

  • Shi, L. and S. Olafsson, Convergence Rate of the Nested Partitions Method for Stochastic Optimization, Methodology and Computing in Applied Probability, (2)1, pp.37-58, 2000.
  • Shi, L. and C-H Chen, A New Algorithm for Stochastic Discrete Resource Allocation Optimization, J. of Discrete Event Dynamic Systems, (10) pp. 271-294, 2000.
  • Shi, L., and S. Olafsson, Nested Partitions Method for Global Optimization Operations Research, (48)3,2000.

Courses

Fall 2016-2017

  • ISYE 790 - Master\'s Research and Thesis
  • ISYE 890 - Pre-Dissertator\'s Research
  • ISYE 990 - Research and Thesis
  • ISYE 699 - Advanced Independent Study
  • ISYE 790 - Master\'s Research and Thesis
  • ISYE 890 - Pre-Dissertator\'s Research
  • ISYE 990 - Research and Thesis
  • ISYE 999 - Advanced Independent Study
  • Profile Summary

    Professor Shi\'s research has been in developing theory and methodology for design and optimization of complex systems such as supply chain networks, manufacturing systems and communication networks. Her interest in this area has spanned three levels: semantic modeling and design of systems, sensitivity analysis via discrete-event simulation, and control and optimization.


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