Industry 5.0: Humans and Technology

The research group specialises in Industry 5.0—an emerging paradigm that emphasises the synergy between advanced technologies and human creativity. Our work explores the potential of intelligent manufacturing systems designed not only to enhance operational efficiency but also to promote sustainability and the humanisation of work environments.

Key areas of interest include the integration of artificial intelligence, robotics, and the Internet of Things (IoT) into production systems, with the aim of increasing product personalisation and adaptability to shifting market conditions. A central research theme is the role of the human actor within human–technology interactions.

The group brings together expertise in management, operations research, process management, and applied mathematics, combining theoretical insight with practical relevance for industrial applications.

Team Members

Jiri Pribil

Jiri Pribil

Vladislav Bina

Vladislav Bina

Anna Cerna

Anna Cerna

Lucie Vachova

Lucie Vachova

Research Objectives

  • Integration of Technology and the Human Factor: The group focuses on exploring effective ways to combine technological innovation with human capabilities in manufacturing environments, with the aim of improving working conditions and increasing productivity.
  • Fostering Adaptability and Sustainability: Research is directed toward the integration of concepts and tools that enable industrial enterprises to respond more rapidly and efficiently to market and environmental changes.

Previous Research Outputs

  • OptiPro 4.0: Optimization of Production Processes – Industry 4.0 in the Czech-Bavarian Border Region (2017–2020, Cross-border Cooperation Programme between the Czech Republic and the Free State of Bavaria, Interreg V-A, Goal ETC 2014–2020)
  • Bína, V., Přibil, J., Váchová, L., Kluge, C., Schindler, M. (2019). Questionnaire Survey Report [online]. 42 pages. Available at: https://www.fm.vse.cz/wp-content/uploads/page/495/Optipro4.0_Questionnaire_Report_CZ.pdf. Report summarizing results from a survey conducted among small and medium-sized enterprises in the Czech-Bavarian border area as part of the INTERREG OptiPro 4.0 project.
  • Adaptive Alert-Based Business Intelligence System (2020–2022, TAČR project no. FW01010606, partial funding)
  • Bártová, B., Bína, V., Váchová, L. (2022). A PRISMA-Driven Systematic Review of Data Mining Methods Used for Defects Detection and Classification in the Manufacturing Industry. Production [online], 32, article no. 20210097, 17 pages. eISSN 1980-5411. DOI: 10.1590/0103-6513.20210097.
  • Černý, J., Peško, Š., Černá, A. (2019). Alternate Criteria in LP Solutions of Public Transport Line Planning. Promet – Traffic and Transportation, 31(3), 287–297.