Haitao Li, Ph.D.

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.

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Education

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

Courses

SCMA 3301 Intro to Supply Chain Management
SCMA 5320 Operations Management
SCMA 6331 Supply Chain Modeling
SCMA 7302 Advanced Optimization Methods

Research

Dr. Li's research projects have been funded by the National Science Foundation, U.S. Army Research Office, U.S. Department of Transportation, Association Supply Chain Management (ASCM), International Agricultural Trade and Research Consortium (IATRC), Missouri Agriculture and Small Business Development Authority (MASBDA), and HP Labs, Ameren, Express Scripts Inc., and Cass Information Systems in the private sector.

Dr. Li is the Director of Laboratory of Advanced Supply Chain Analytics (LASCA).

Patents & Inventions

Li, H., C. Halmen and L. Yang (2022). Physical Resource Optimization System and Associated Method of Use, U.S. National Patent 11,334,824.

 Li, H. (2012). Hybrid Architecture in Approximate Dynamic Programming for Project Scheduling, Provisional Patent Application submitted, Attorney Docket Number: 13UMS002prov.

Li, H. (2012). Stochastic Resource-Constrained Project Scheduling, Provisional Patent Application submitted, Attorney Docket Number: 11UMS001prov.

Santos, C. A., H. Li, T. Gonzalez, H. Davis, S. Perez, F. Orozco, O. Fernandez and C. Bartolini (2013). Project Portfolio Optimization (PPO), U.S. Patent Application 13/874,181.

Santos, C. and Tere Gonzalez, Xin Zhang, Shelen Jain, Andrei Fuciec, Haitao Li, Claudia Marquez-Nava, Christopher Mejia (2011). Optimizing Workforce Capacity and Capability, Patent Application submitted, Attorney Docket Number: 201001914.

Selected Publications

Petropoulos, F., G. Laporte, …, H. Li, et al. (2023), Operational Research: Methods and Applications, Journal of the Operational Research Society, DOI: 10.1080/01605682.2023.2253852

Enayati, S., H. Li, J. Campbell and Deanna Pan (2023), Multi-Modal Vaccine Distribution Network Design with Drones, Transportation Science, https://doi.org/10.1287/trsc.2023.1205.

Subbiah, C., A. Hupman, H. Li, and J. Simonis (2022), Improving Software Development Effort Estimation with a Novel Design Pattern Model, INFORMS Journal of Applied Analytics (IJAA), https://doi.org/10.1287/inte.2022.1138.

Xie, F., H. Li* and Zhe Xu (2021), Multi-Mode Resource-Constrained Project Scheduling with Uncertain Activity Cost, Expert System with Applications, Vol. 168, 114475.

Xie, F., H. Li* and Z. Xu (2021), An Approximate Dynamic Programming Approach to Project Scheduling with Uncertain Resource Availabilities, Applied Mathematical Modeling, Vol. 97, p.226-243

Li, F., Z. Xu and H. Li* (2021), A Multi-Agent Based Cooperative Approach to Decentralized Multi-Project Scheduling and Resource Allocation, Computer and Industrial Engineering, Vol. 151, 106961

Tang, W., H. Li and J. Chen (2021), Optimizing Carbon Taxation Target and Level: Enterprises, Consumers, or Both?, Journal of Cleaner Production, Vol. 282, 124515.

Tang, W., H. Li and K. Cai (2021), Optimizing the Credit Term Decisions in a Dual-Channel Supply Chain, International Journal of Production Research, Vol. 59, No. 14, p.4324-4341.

Li, H.*, D. Jiang and D. Li (2021), Optimizing the Configuration of a Food Supply Chain, International Journal of Production Research, Vol. 59, No. 12, p.3722-3746.

Nie, D., H. Li*, T. Qu, Y. Liu and C. Li (2020), Optimizing Supply Chain Configuration with Low Carbon Emission, Journal of Cleaner Production, Vol. 271, 122539.

Yang, L., H. Li and J. Campbell (2020), Improving Order Fulfillment Performance through Integrated Inventory Management in a Multi-Item Finished Goods System, Journal of Business Logistics, Vol. 41, No. 1, p.54-66.

Solomon, S., H. Li, K. Womer, C. Santos (2019), Multi-Period Stochastic Resource Planning in Professional Service Organizations, Decision Sciences, Vol. 50, No. 6, p1281-1318.

Li, H.*, L. Mai, W. Zhang, X. Tian (2019), Optimizing the Credit Term Decisions in Supply Chain Finance, Journal of Purchasing and Supply Management, Vol. 25, No. 2, p146-156.

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, 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 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)