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Haitao Li

Haitao Li

Haitao Li
Associate Professor of Logistics and Operations Management
Chair, Ph.D. Committee
Office: 229 Express Scripts Hall ~ Voice: +1 314-516-5890

Degrees Held: 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

Research Areas

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

Awarded Research Projects

  • 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.

Selected Publications

  • Santos, C., T. Gonzalez, H. Li, K.-Y. Chen, D. Beyer, S. Biligi, Q. Feng, R. Kumar, S. Jain, R. Ramanujan, A. Zhang (2011), HP Enterprise Services Uses Optimization for Resource Planning, to appear in Interfaces.
  • Li, H. and D. Jiang (2011), New Model and Heuristics for Safety Stock Placement in General Acyclic Supply Chain Networks, to appear in Computers and Operations Research, doi: 10.1016/j.cor.2011.08.001
  • Li, H. and M. Amini (2011), A Hybrid Optimization Approach to Configure a Supply Chain for New Product Diffusion: A Case Study of Multiple-Sourcing Strategy, to appear inInternational Journal of Production Research, doi: 10.1080/00207543.2011.597789
  • Li, H. and K. Womer (2011), Stochastic Resource-Constrained Project Scheduling and Its Military Applications, MORS Phalanx, March.
  • 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 (2009), A Filter-and-Fan Approach to the 2D Lattice Model of the Protein Folding Problem, to appear in Annals of Operations Research.
  • 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.

Consulting Experience

  • Hewlett-Packard Laboratory (HP Lab)
  • Naval Personnel Research, Study and Technology (NPRST)
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