Anna Burduk is a Full Professor at the Faculty of Mechanical Engineering of Wroclaw University of Science and Technology, where she serves as the Head of the Department of Production Engineering and Management. She is a Vice President of the Polish Society for Production Management and a key researcher in projects funded by the National Centre for Research and Development. Prof. Burduk is a member of the Polish Academy of Sciences, serving on the Committee of Production Engineering (KIP PAN) in the terms 2020–2023 and 2024–2027, as well as on the Commission of Construction and Mechanics of the Wrocław Branch of the Polish Academy of Sciences in the terms 2016–2019, 2019–2022 and 2022–2025. She is also a member of the Wrocław Branch of the Association of Polish Engineers and Mechanics (SIMP).
Her research interests include the application of intelligent methods in production process control, risk assessment of manufacturing systems, improvement of production system efficiency, as well as modeling and simulation of manufacturing and business processes, including information and material flows.
Prof. Anna Burduk is the author of over 200 peer-reviewed scientific publications published in highly ranked and reputable international journals. She has carried out numerous national and international research projects, as well as projects commissioned by manufacturing companies. She is the author of many expert reports and recommendations prepared for enterprises at both regional and national levels and has successfully supervised seven completed PhD dissertations.
Presentation Title: Smart and Resilient Manufacturing: Integrated Modelling and Risk Assessment through Intelligent and Simulation-Based Methods
Presentation Abstract: In the era of Industry 4.0, smart and resilient manufacturing has become a strategic imperative for production systems operating in dynamic and uncertain environments. This presentation discusses the integration of production system development with new product design, emphasizing operational efficiency, adaptability, and market responsiveness. Traditional production management approaches are increasingly being enhanced by intelligent methods and simulation-based models that support real-time decision-making, predictive planning, and risk assessment. These tools enable manufacturers to optimize resource utilization, reduce time-to-market, and improve system flexibility. The proposed framework combines intelligent modelling techniques with resilience-oriented strategies to strengthen production systems against disruptions and variability. Through simulation-based analysis and data-driven insights, the study illustrates how smart and resilient manufacturing can drive sustainable performance and competitive advantage.