Food Production Scheduling

Process Industry Scheduling optimises production processes in process industries with strong interdependencies between equipment, materials, and production stages. The algorithm takes contamination risks, cleaning logics, sequence dependencies, intermediate storage, and resource constraints into account in order to generate stable and cost-efficient production plans. This results in more efficient production campaigns, reduced downtime, and better utilisation of existing capacities.
Process industries are characterised by:

- complex material flows
- high cleaning and changeover effort
- Kontaminationsrisiken
- limited intermediate storage capacities
- sequence-dependent production processes
- a high degree of process interconnection between equipment
Process Industry Scheduling optimiert automatisiert:

- production sequences
- cleaning and changeover processes
- resource utilisation
- setup times
- On-time delivery
Technical and logistical interdependencies such as intermediate storage and material flows are systematically taken into account to generate feasible and cost-efficient production plans.
Your benefits from Process Industry Scheduling
lower cleaning and setup effort
higher equipment availability
better resource utilisation
higher planning reliability
More stable production campaigns
reduced downtime
Für wen ist Process Industry Scheduling besonders relevant?
- Chemical industry
- Pharmaceutical industry
- Food Industry
- Beverage Industry
- Compound feed industry
- Cosmetics industry

Easy Integration
Process Industry Scheduling integrates seamlessly into existing:
- APS systems
- MES systems
- ERP systems
- custom planning solutions
The optimisation is implemented via standardized interfaces and enhances existing planning systems with targeted additional optimisation capabilities.
Relevant use cases:
- sequence optimization
- Tank & Silo optimisation
- Setup time optimization
Which constraints from the process industry define your current limits today?
In a joint discussion, we analyse the underlying planning logic and show how Process Industry Scheduling can extend it in a targeted way.


























