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Haitao Li

Haitao Li Ph.D
Associate Professor

Haitao Li

208 Express Scripts Hall 


  • PhD, Production and Operations Management, The  University of Mississippi, 2005
  • M.A. Economics, The University of Mississippi, 2002
  • B.E. International Trade and Aeronautical Engineering, Beijing University of Aeronautics and Astronautics, 2000


  • Areas: Supply chain modeling, management science, operations management
  • Courses:
    • LOM 6331 - Supply Chain Operational Modeling
    • LOM 5320 - Production and Operations Management
    • LOM 4350 - Introduction to Management Science
    • BA 3320 - Introduction to Operation Management
    • BA 3300 - Business Statistic


  • A Resource-Constrained Project Scheduling, Supply Chain Design, Hybrid Algorithm Design, Approximate Dynamic Programming


  • PI, "Resource-Constrained Project Scheduling under Uncertainty: Models, Algorithms and Applications", sponsored by the Army Research Office (ARO) Young Investigator Award
  • PI, "Optimizing the Project Portfolio Design and Staffing Decisions for Professional Service Enterprises", sponsored by HP Labs Innovative Research Program.


  • Li, H., C. Halmen and L. Yang (2016). Physical Resource Optimization System and Associated Method of Use, Provisional Patent Application submitted,  Docket Number: 65000-159476
  • Santos, P., H. Li and I. Lopez (2014). Method Generating Optimal Project Portfolios, Invention Disclosure. (Submitted)
  • Li, H. (2013). System and Method of Stochastic Resource-Constrained Project  Scheduling, U.S. Patent Application 61/795,574, filed October 2013. Patent Pending.  
  • Li, H. (2012). Hybrid Architecture in Approximate Dynamic Programming for Project Scheduling, Provisional Patent Application submitted, Attorney Docket Number: 13UMS002prov.


  • Li, H. (2017), Stochastic Single-Machine Scheduling with Learning Effect, IEEE Transactions on Engineering Management, Vol. 64, No. 1, p94-102.
  • Womer, K., H. Li, J. Camm, C. Osterman, R. Radhakrishnan (2017), Learning and Bayesian Updating in Long Cycle Made-to-order (MTO) Production, Omega, Vol. 69, p29-42.
  • Li, H. and B. Alidaee (2016), Tabu Search for Solving the Black-and-White Traveling Salesman Problem, to appear in the Journal of the Operational Research Society, Vol. 67, No. 8, p1061-1079.
  • Li, H. and K. Womer (2015), Solving Stochastic Resource-Constrained Project Scheduling Problems by Closed-loop Approximate Dynamic Programming, European Journal of Operational Research, Vol. 246, No. 1, p20-33.
  • Santos, C., T. Gonzalez, H. Li, K.-Y. Chen, D. Beyer, S. Biligi, Q. Feng, R. Kumar, S. Jain, R. Ramanujan, A. Zhang (2013), HP Enterprise Services Uses Optimization for Resource Planning, Interfaces, Vol. 43, No. 2, p152-169.
  • Li, H. and K. Womer (2012), Optimizing the Supply Chain Configuration for Make-to-Order Manufacturing, European Journal of Operational Research, Vol. 221, No. 1, p118-128.
  • Li, H. and D. Jiang (2012), New Model and Heuristics for Safety Stock Placement in General Acyclic Supply Chain Networks, Computers and Operations Research, Vol. 39, No. 7, p1333-1344.
  • Amini, M. and H. Li (2011), Supply Chain Configuration for Dynamic Diffusion of New Products: An Integrated Optimization Approach, Omega, Vol. 39, No. 3, p313-322.
  • Rego, C., H. Li and F. Glover (2011), A Filter-and-Fan Approach to the 2D Lattice Model of the Protein Folding Problem, to appear in Annals of Operations Research, Vol. 188, No. 1, p389-414.
  • Li, H. and K. Womer (2009), A Decomposition Approach for Shipboard Manpower Scheduling, Military Operations Research, Vol. 14, No. 3, p1-23.
  • Li, H. and K. Womer (2009), Scheduling Projects with Multi-Skilled Personnel by a Hybrid MILP/CP Benders Decomposition Algorithm, Journal of Scheduling, Vol. 12, No. 3, p281-298.   


  • Hewlett-Packard Laboratory (HP Lab)
  • Naval Personnel Research, Study and Technology (NPRST)
 Click here for full curriculum vitae.