The ongoing global material/logistics shortage—combined with limited workforce supply and increasing labor costs—pose major risks for today's value chains. While advanced planning and scheduling (APS) systems in the past focused mainly on finite scheduling of resources, materials and personnel, FEDRA goes beyond that and allows for a dynamic and adaptive planning process. This involves the ability to effectively schedule production across several plants and time zones and the integration into any production environment using its underlying platform architecture. State-of-the-art algorithms based on artificial intelligence (AI) and reinforced learning prove to be more beneficial to commonly-used heuristic approaches. Users develop optimized schedules accounting for resource constraints by exploring the whole solution space, thereby minimizing delays and set-up times while maximizing capacity utilization.
- Increase capacity utilization by 20%
- Improve on-time order performance by 25%
- Reduce overall labor costs by 15%
- Mitigate risks associated with material and worker shortages
Agenda:
- Introduction
- Integrated platform-based architecture
- Cross-plant planning
- AI-based algorithms with cognitive planning
- Use cases
