The industries of the future must be driven by the constant evolution of their processes and factories, and by the sustainability of operations along the entire supply chain. However, while industrial firms still have limited knowledge of analytical approaches, decision-making processes are rapidly shifting to advanced services, heavily supported by data and models. In this context, model-based approaches provide an adequate support to increase the productivity and the global sustainability of the production systems. Here, areas of interest include simulation-optimization of manufacturing systems, model-based methodologies for plant design and management, strategic planning, and supply chain management.
Samuel finished the PhD in March 2014 in production planning and scheduling optimization. The PhD work has been focused on the implementation of data-driven methods for improving the economic performance of chemical-pharmaceutical plants. Currently, Samuel is project manager of several contract-based research programs with industrial companies. Samuel is leading a cross-functional team that is focused in the design of complex manufacturing and logistic systems. The most recent projects involved solving complex problems through the application of advanced modelling approaches and data sciences techniques.