Data-driven design of robust scheduling algorithms for flexible production

Production companies are embarking on an ambitious Factory of Future (or Industry 4.0) program to upgrade the ICT infrastructure to take advantage of digital technologies. This upgrade will harness the convergence of sensing, communications and computing technology to put scheduling and data analytics at the center of the production system. It will deliver significant increases in the capacity and robustness of the system. Modern tools with a sound mathematical background (optimization, data science, algorithms) will necessarily underpin key technological components of this system. This project will design data-driven algorithms to generate schedules for production, both static and dynamic, that reflect the system-level intentions of the users.

Čapek, R. - Šůcha, P. - Hanzálek, Z.: Production Scheduling with Alternative Process Plans, European Journal of Operational Research, Volume 217, Issue 2, March 2012, Pages 300–311, doi:10.1016/j.ejor.2011.09.018, Elsevier.

Řídicí technika a robotika