The group is dedicated to developing quantitative models to support decision-making processes in operations performance management, using machine learning approaches, text analytics, grey systems theory, fuzzy logic and multi-criteria decision techniques combined with computing with words, according to the analyzed context.
The group is based at the São Carlos School of Engineering (EESC) within the University of São Paulo (USP).
Whether you are an industry leader seeking solutions to optimize your operations or a fellow researcher interested in collaboration, we invite you to join us on our journey to redefine decision-making in operations performance management. Together, we can unlock the full potential of data-driven insights and pave the way for a more efficient and productive future.
Feel free to explore our research, publications, and ongoing projects to learn more about how CI4OM is shaping the future of operations performance management. If you have any inquiries or would like to collaborate, please don't hesitate to reach out. We look forward to connecting with you.