Muer Yang

Muer Yang is a Professor in the Department of Operations and Supply Chain Management at the University of St. Thomas Opus College of Business. He holds a PhD in Operations Management from the University of Cincinnati, an MS in Management Science and Engineering, and a BS in Management Information System from Tsinghua University. His research applies simulation optimization to critical challenges in health care, public policy, and voting systems.

His educational background includes:

• PhD in Operations Management, University of Cincinnati
• MS in Management Science and Engineering, Tsinghua University
• BS in Management Information System, Tsinghua University

Professor Yang's research centers on simulation optimization techniques for health care management and public policy operations, with key focus areas:

• Voting systems and election operations
• Health care delivery and ICU management
• Affordable Care Act policy analysis

His interdisciplinary work bridges operations research with real-world policy implementation.

His 14 publications (2005-2018) reveal strong trends in public service operations research:

• Voting machine allocation models reducing voter wait times
• Health care operations for diabetic patients and ICU admissions
• Simulation-optimization for policy evaluation under uncertainty

Work appears in premier journals including Production and Operations Management and Omega.

Key honors include:

• Susan E. Heckler Research Excellence award (2015)
• INFORMS SPPSN best paper competition second place (2011)

Professor Yang mentors students through operations management and analytics courses, with research attracting media coverage and election law expert testimony. His work aligns with:

• National Science Foundation-funded policy research
• Health care innovation grants

He collaborates through the Behavioral Research Center and Risk Leadership Initiative, partnering with researchers like S. Kumar and M.J. Fry across institutions.