Core Resource Assignment

Core Resource Assignment optimizes the allocation of critical resources within complex production environments. The algorithm takes into account technical constraints, resource availability, material dependencies, and competing requirements to generate feasible and cost-efficient production plans. This results in stable production processes, improved resource utilization, and significantly faster decision-making.
Many production plans fail not due to machine capacity, but because of limiting secondary resources such as:

- Tools
- Molds
- Tanks
- Silos
- Boilers
- Auxiliary production resources
- Intermediate storage capacity
Core Resource Assignment optimiert automatisiert:

- Allocation of constrained resources
- Availability of critical production resources
- Feasibility of complex production plans
The algorithm evaluates the entire planning scenario simultaneously and computes feasible and cost-efficient solutions within seconds.
Your benefits through Core Resource Assignment:
Higher feasibility of plans
Better utilization of critical resources
Reduced bottlenecks
Faster decision-making
More stable production processes
Lower manual planning effort
Who is Core Resource Assignment particularly relevant for?
- Tank and silo management
- Compound feed industry
- Food Industry
- Chemical industry
- Tool assignment
- Mold management
- variant manufacturing
- Electrical engineering industry
- Complex line and resource constraints
- Parallel production environments

Easy Integration
Core Resource Assignment 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 optimization capabilities.
Relevant use cases:
- Resource & constraint optimisation
Where do resource constraints currently define your limits?
In a joint discussion, we analyze the underlying planning logic and demonstrate how Core Resource Assignment extends it in a targeted way.


























