Development and Application of Mathematical Tools to Support the Decision-Making Process

This research program focuses on the development and application of advanced mathematical and computational methods to support complex, multifactorial decision-making across various disciplines. It addresses three main fields: Industrial and Service Production, Energy Efficiency, and Systems Biology. In the industrial sector, optimization procedures, network flow problems (transport and transshipment), and metaheuristic techniques are employed to improve the management of distribution, raw material consumption, and storage levels. For the energy sector, multi-objective models are utilized to optimize the use of renewable energy sources, evaluate efficiency, and reduce pollutant emissions. In Systems Biology, the focus is on developing tools for the design, modeling, and in silico analysis of biological systems aimed at producing biofuels as an energy alternative. The methodology involves forming research groups dedicated to applying and developing these methods within each thematic area.<br/><br/><b>Goal</b>: <br/>To develop new mathematical and numerical optimization models and methods to describe, optimize, and manage industrial processes (transport, distribution, consumption) and evaluate energy-efficient alternatives. Furthermore, the goal is to develop computational tools for modeling and in silico analysis in systems biology focused on obtaining biofuels.<br/><br/><b>Research lines</b>: <br/>Simulation and optimization of industrial processes