Aaron Heinrich

Aaron Heinrich Image
Assistant Professor
College of Business
Economics, Management, and Project Management

315G Forsyth Building

Biography

Dr. Aaron Heinrich is Assistant Professor of Operations Management in the School of Economics, Management, and Project Management at Ä¢¹½¶ÌÊÓÆµ, where he teaches MGT 375, Operations Management, and MBA 635, Managing Value-Creating Business Operations. He holds a PhD in Business Administration, an MBA, and an MS in Nuclear Engineering from Texas A&M University, an MA in Christian Apologetics from Biola University, and a BS in Applied Science and Technology from Thomas Edison State University. He has also taught graduate students at the Naval Postgraduate School, adapting his methods to the needs of working defense professionals.<br><br>His research examines the intersection of public policy and operations management using quasi-experimental designs. It received the 2026 Distinguished Paper Award from the Decision Sciences Institute (DSI), Southwest, and was nominated for Best Regional Presentation at the 2026 national DSI conference. He serves on the editorial review board of the International Journal of Physical Distribution & Logistics Management and has mentored two doctoral students.

Education

  • Ph D, Texas A&M University
  • MBA, Texas A&M University
  • MS, Texas A&M University
  • BS, Thomas A Edison State College

Teaching Interests

His teaching interests center on undergraduate and graduate operations management. He holds that deep subject-matter knowledge is necessary but not sufficient for excellent instruction; effective teaching also requires personal connection with students and an understanding of how each learns best. He continuously solicits student feedback inside and outside the classroom, varies his course delivery, and draws on industry experience to keep content engaging and relevant. He also adapts his methods for graduate and working-professional audiences.​​

Research Interests

His research examines the intersection of public policy and operations management using quasi-experimental designs, including matching methods, panel data econometrics, and difference-in-differences. Current projects examine motor carrier safety and regulatory oversight using federal transportation data. His goal is to generate credible causal evidence on how regulation and public policy shape operational and supply chain outcomes, informing both managers and policymakers.