Intelligent supply chain management

Supply chain networks are ubiquitous and affect basic aspects of our lives, like the distribution of electricity and water. Modern supply chain networks are globally interconnected and 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 at developing efficient and scalable computational methods for supply chain management while accounting for the increased complexity of modern supply chain networks. 

Selected Publications

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]