Energy and Manufacturing
Supply Chain Optimization

Supply chain networks are ubiquitous and affect basic aspects of our lives, like the distribution of electricity, chemicals, and water. Modern supply chain networks are globally interconnected, are affected by fast-changing economic environments, and their operation must be sustainable. These features lead to increased complexity since one should consider all the temporal and spatial aspects of a supply chain in order to determine the optimal design and operation of the system, i.e., achieve optimal utilization of the available resources. 

We aim to develop efficient and scalable computational methods and mathematical models for supply chain design and operation.

Selected Publications

4. Lee, J., Agustin, M., Langsdorf, J., Kutanolgu, E., Baldea, M. and Mitrai, I., 2026. Grid Capacity Expansion under Data Centers and Electrified Manufacturing Large Loads. arXiv preprint arXiv:2605.29053. [arXiv]

3. Lee, J., Kutanoglu, E., Baldea, M., and Mitrai, I., Effect of data center and electrified manufacturing demand on power grid expansion. Accepted CIRP Conference on Manufacturing Systems (CIRP CMS), 2026

3. Mitrai, I. and Daoutidis, P., 2026. Exploiting the Multiscale Structure of Sustainable Engineering Problems via Network‐Based Decomposition. Optimization of Sustainable Process Systems: Multiscale Models and Uncertainties, pp.43-61. [paper]

2. Mitrai, I., Palys, M., and Daoutidis, P., A multistage stochastic programming approach for renewable ammonia supply chain network design. Computers & Chemical Engineering, page 109443, 2025 [paper]

1. Mitrai, I., Palys, M., and Daoutidis, P., A two-stage stochastic programming approach for the design of renewable ammonia supply chain networks, Processes, 12(2), 2024 [paper]