Berlin | June 18, 2026

In electronics manufacturing, highly complex dependencies converge every day: workforce capacity, machine availability, changeover times, material shortages, and last-minute schedule changes. Yet in many factories, detailed scheduling is still managed through Excel sheets, ad-hoc coordination and improvisation — with familiar consequences: limited transparency, unstable processes, missed delivery deadlines and increasing pressure on teams.

This talk explains how AI-supported advanced scheduling can turn complexity into control, and why implementing intelligent planning systems should not be approached as a purely IT-driven initiative, but as a company-wide transformation.

Key questions addressed include:

* Which structural challenges shape advanced scheduling in electronics manufacturing?

* How do evolutionary algorithms outperform classical heuristics — in real-world production environments?

* Which cultural and organisational prerequisites are critical for successful implementation?

Using the practical case study of Fritsch Elektronik, the presentation demonstrates how a mid-sized electronics manufacturer achieved measurable improvements in on-time delivery, resource utilisation and production stability through AI-based scheduling.