Expertise

Heier Stamm’s research interests include the development of quantitative models and algorithms to design and improve humanitarian relief and public health logistics systems.

This work is addressing two central research questions: (1) What is the impact on system effectiveness as a result of decentralization? and (2) How can systems be designed to mitigate adverse effects of decentralization?

Affiliations

Associate Professor, Department of Industrial and Manufacturing Systems Engineering, Carl R. Ice College of Engineering, Kansas State University

Center for Excellence in Logic and Distribution, College of Engineering, University of Arkansas

Steve Hsu Keystone Research Scholar, Department of Industrial and Manufacturing Systems Engineering, Carl R. Ice College of Engineering, Kansas State University

Communities
Industrial Engineering, Manufacturing Engineering
Degrees
PhD, Georgia Institute of Technology, Industrial and Systems Engineering, 2010
BS, Kansas State University, Industrial Engineering, 2004