Professor and Department Chair Haitao Li

Haitao Li

CONTACT:
lihait@umsl.edu
Phone: 314-516-5890
Office: 208 Express Scripts Hall 
You can download Professor Li's CV here. 

 

Dr. Li's primary goal as an educator is two-fold. First, to disseminate knowledge in my domains of expertise in Supply Chain and Analytics, and second, to cultivate students’ interest and ability to acquire and apply knowledge. 

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

SCMA 3301 Intro to Supply Chain Management

SCMA 5320 Operations Management

SCMA 6331 Supply Chain Modeling

SCMA 7302 Advanced Optimization Methods

Dr. Li's research is motivated by his passion to enhance the quality and efficiency of real-life decision-making, with the ultimate goal of benefiting society. His research centers on developing models and algorithms that combine the complementary strengths of descriptive, predictive, and prescriptive analytics/optimization for applications in manufacturing, service, agriculture, construction, and healthcare. Dr. Li's research projects have been funded by the U.S. Army Research Office, U.S. DOT, Association Supply Chain Management (ASCM), International Agricultural Trade and Research Consortium (IATRC), Missouri Agriculture and Small Business Development Authority (MASBDA), and HP Labs, Ameren and the ESI private sector.

Articles:

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 (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.    

Li, H. and B. Alidaee (2016), Tabu Search for Solving the Black-and-White Traveling Salesman Problem, Journal of the Operational Research Society, Vol. 67, No. 8, p1061-1079.

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)