Computer Science for Supply Chain Optimization
Principal investigators: Jesús Sánchez-Oro Calvo, Eduardo García Pardo
Funding entity: Agencia Estatal de Investigación
External reference: PID2024-160226OB-C22
Internal reference: M4027
Duration: 01/09/2025 – 31/08/2028
Abstract:
Supply chain optimization is one of the major challenges of modern logistics. This project addresses this problem from a computer science perspective, applying advanced combinatorial optimization and metaheuristic techniques to improve the planning, coordination, and efficiency of the different links in the chain: procurement, production, distribution, and inventory management. The goal is to develop models and algorithms capable of obtaining high-quality solutions in dynamic environments with multiple constraints, contributing to cost reduction and improved sustainability of logistics operations.
Jesús Sánchez-Oro
Associate Professor
Associate Professor at the Computer Science Department, being one of the senior researchers of the Group for Research on Algorithms For Optimization GRAFO.
Eduardo García Pardo
Full Professor
One of the founders of the investigation group GRAFO, whose main line of research is the development of algorithms to tackle optimization problems, the topic of the researcher’s Doctoral Thesis and which their most notable publications are framed.