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University of Nebraska–Lincoln


Liang Xu Photo

Liang Xu

Assistant Professor of Supply Chain Management and Analytics
Supply Chain Management and Analytics
HLH 511 T
P.O. Box 884114
Lincoln, NE 68588-4114
(402) 472-3442
Liang Xu Photo
Ph.D. in Supply Chain Management, Penn State University, 2019
M.S. in Management Science, Sun Yat-sen University, 2013
B.S. in Logistics Engineering and Management, Sun Yat-sen University, 2011
Areas of Expertise
  • Data-driven Operations Management
  • Pharmaceutical Supply Chains
  • Behavioral Operations Management

Liang (Leon) is an Assistant Professor of Supply Chain Management and Analytics in the College of Business at the University of Nebraska - Lincoln. Prior to joining UNL, he earned his Ph.D. in Supply Chain Management from Smeal College of Business, Pennsylvania State University in 2019. His research addresses the important and urgent issues facing the U.S. healthcare system, such as exorbitant drug prices, drug shortages, drug development and approval, and opioid epidemic. He leverages a versatile set of methods including analytical modeling, empirical methods, data analytics, and experimental methods to provide insights and policy implications to address these issues. His research has been published in top OM journals such as Manufacturing & Service Operations Management. He also serves as reviewers for Manufacturing & Service Operations Management, Production and Operations Management and Decision Sciences.

  1. Xu, Liang, Hui Zhao, and Nicholas C. Petruzzi. 2021. Inducing Compliance with Postmarket Studies for Drugs Under FDA’s Accelerated Approval Pathway. Manufacturing & Service Operations Management 23(1): 170-190.
  2. Zhao Hui, Xu Liang, Siemsen Enno. 2021. Inventory Sharing and Demand-Side Underweighting. Manufacturing & Service Operations Management 23(5):1217-36.
  3. Liang Xu, Hongmin Li, Hui Zhao. 2022. Outcome-based Reimbursement: the Solution to High Drug Spending? Manufacturing & Service Operations Management, forthcoming. 

SCMA 350 Business Analytics/Information Analysis (taught at UNL): This course focuses on how to explore meaningful patterns in big data and how to communicate findings through effective visuals. Students in this course will learn to use Excel and Tableau for data analytics.

SCMA 450 Data Modeling and Computing (taught at UNL): The course focuses on R programming for data analytics and statistical computing in business applications. 

SCM 421 Supply Chain Analytics (taught at Penn State): This course is focused on quantitative supply chain modeling and analysis with Tableau and Excel.