Lijia Tan

Lijia Tan serves as an Assistant Professor at Eindhoven University of Technology (TU/e) within the Department of Industrial Engineering & Innovation Sciences (IE&IS), specifically in the Operations, Planning, Accounting & Control (OPAC) capacity group. She maintains dual affiliations with the Eindhoven Artificial Intelligence Systems Institute (EAISI), contributing to both EAISI High Tech Systems and EAISI Foundational research groups.

Dr. Tan earned her Ph.D. in Economics from Xiamen University in 2015, followed by a two-year postdoctoral position at the University of Cologne funded by Fritz Thyssen Stiftung. She then joined TU/e as a postdoctoral researcher in the OPAC group until 2019, with an interim position at Tianjin University before returning to TU/e as a faculty member in 2020.

Her research centers on Behavioral Operations Management, where she employs laboratory experiments to investigate human decision-making in operational contexts. Key focus areas include auction mechanisms, supply chain contracts, decision-making under uncertainty, and the interaction between human planners and production planning systems. Her work bridges economics, operations research, and cognitive psychology to develop more realistic behavioral models for operational settings.

Analysis of Dr. Tan's recent publications reveals a consistent methodological approach combining theoretical modeling with experimental validation across diverse operational contexts. Her research shows increasing attention to human-AI collaboration in Industry 5.0 settings, particularly examining how production planning systems can better accommodate human cognitive limitations while providing effective decision support.

Dr. Tan teaches courses including Fundamentals of Financial and Management Accounting, International & Strategic Risk Management, and Integrated Financial and Operations Management. Her teaching reflects her interdisciplinary expertise spanning operations management, economics, and decision science.

Based at Atlas 4.319, Dr. Tan actively contributes to multiple research initiatives at TU/e, particularly within the EAISI High Tech Systems and EAISI Foundational groups, where she applies her expertise in behavioral modeling and experimental methods to advance operations management research.