Professor and Department Chair Haitao Li
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
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)
