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OM 702

Advanced Research Topics in Operations Management

3 units

Fall 2026

Topics

  • Preliminary materials
  • Exponential distribution and the Poisson process
  • Discrete-time Markov chains
  • Continuous-time Markov chains
  • Renewal processes

Readings

  • Introduction to Probability Models, Sheldon Ross, 10th ed., Elsevier, 2010
    unspecified
  • Modeling and Analysis of Stochastic Systems, Vidyadhar G. Kulkarni, 3rd ed., Chapman and Hall,
    unspecified
  • Stochastic Models in Queueing Theory, Jyotiprasad Medhi, 2nd ed., Academic Press, 2003. Page 1 of 3
    unspecified
  • Stochastic Processes, Sheldon Ross, 2nd ed., Wiley, 1995
    unspecified
Winter 2026

Topics

  • To learn different decomposition-based algorithms to solve large-scale optimization problems
  • To introduce students to optimization under uncertainty, covering stochastic, robust, and contextual stochastic optimization
  • To provide practical skills in formulating optimization models, developing customized algorithms, and implementing solution methods in Python
  • Understand and apply advanced methods for stochastic and contextual stochastic optimization under uncertainty
Sources