Degree Type


Date of Award


Degree Name

Doctor of Philosophy


Industrial and Manufacturing Systems Engineering


Industrial and Manufacturing Systems Engineering

First Advisor

Caroline C. Krejci

Second Advisor

Michael C. Dorneich


A gradual evolution in the food and energy sectors towards decentralized decision-making is requiring participant organizations to consider new approaches to the design of policies and processes. Increasing consumer preference for food sourced from small-scale regional farmers has led to changing logistics requirements. Similarly, as consumers have become conscious of the impacts of climate change on the environment, they have begun to adopt renewable sources to meet their energy needs. Moreover, the emergence of new technologies has enabled consumers to generate their own energy. Such shifts in decision-making power to consumers necessitates the consideration of their perspectives and preferences when designing policies and business structures. In food and energy systems, which can be considered sociotechnical systems, the role of human behavior influences system dynamics as strongly as the technical artifacts. This dissertation utilizes an agent-based modeling approach to study such sociotechnical systems. Although agent-based modeling (ABM) has demonstrated the potential to understand and predict the dynamic behavior of sociotechnical systems, the biggest barriers in implementing ABM widely are its replicability and validation. This dissertation aims to address these two issues by developing empirical ABMs for applications in regional food supply chains and renewable energy systems. The applications of the ABMs in this dissertation are motivated by United Nations Sustainable Development Goals, specifically those goals that are focused on the objectives of responsible consumption and production, climate action, and affordable and clean energy for all.

Copyright Owner

Anuj Mittal



File Format


File Size

249 pages