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The Operational Research Lab – OR@Brescia is internationally recognized for its research on the development and application of optimization models and quantitative methods for complex decision-making problems. The group’s research activities cover a broad range of application domains, including logistics and supply chain management, transportation systems, production and workforce scheduling, and financial decision processes.

The group has participated in numerous research projects across different fields and has established a strong international network of outstanding researchers. The excellence of its scientific output has been formally acknowledged by national and international evaluation and ranking exercises.

Operational Research is a scientific and interdisciplinary discipline focused on the analysis and solution of problems arising in the management of complex systems. In rapidly evolving economic and technological environments, Operational Research provides decision-makers with rigorous analytical frameworks to support the design, evaluation, and implementation of effective solutions. Such solutions typically involve intricate interactions among people, resources, processes, and financial constraints.

The field has fostered the development of a broad set of powerful analytical tools, including mathematical programming, simulation, queueing theory, network optimization, decision analysis, and multicriteria decision-making methods. These methodologies, combined with data analytics and machine learning techniques, enable the systematic analysis of alternatives and the identification of high-quality, data-driven solutions to real-world challenges.