Data & Classical Analytics / Mathematical Optimization
Concept-stage supply feasibility screening
ResearchSupportlow effect
Core capability
The system computes the best feasible production or logistics plan under real constraints, helping improve throughput, delivery reliability, and cost efficiency.
How it works
Business rules, capacities, deadlines, and resource limits are encoded mathematically, and the solver computes the best feasible plan instead of leaving planners to resolve trade-offs manually.
Application here
Simple models screen concept alternatives for rough supply feasibility and cost before development proceeds further.
Business impact
This helps avoid committing to concepts that are likely to face major sourcing or cost problems downstream.
Limitations
Early supply data is rough, so results are directional only. Supplier-specific constraints and emerging supply risks may still be missed.
In production
This is already a real production capability in many companies: the system helps build better plans for production, logistics, and resources under real business limits.
Research
The direction of travel is toward systems where a planner describes the problem in business language and the software helps turn that into a solvable planning model much faster than today.
Examples
At concept stage, supply feasibility is still largely assessed manually or with simple models. Dassault DELMIA Quintiq and SAP IBP enable early-stage supply screening, but formalisation at this stage remains limited [early stage] — .