DSC-3 solves vehicle routing, production scheduling, and network design problems in milliseconds — not hours.
Optimizing routes for hundreds of vehicles across thousands of stops with time windows, capacity constraints, and dynamic conditions.
Job-shop and flow-shop scheduling with setup times, machine constraints, due dates, and multi-objective optimization requirements.
Facility location, inventory positioning, and network flow optimization across global supply chains with uncertain demand.
Multi-depot routing with time windows, capacity constraints, and priority stops. Solve TSP and VRP variants with millions of variables natively.
Job-shop and flow-shop scheduling as QUBO problems. Minimize makespan while respecting setup times, machine constraints, and due dates.
Warehouse placement and coverage optimization. Balance service levels, transportation costs, and capital expenditure across network configurations.
Multi-echelon inventory optimization under demand uncertainty. Design resilient networks that minimize total cost of ownership.
Container utilization and weight distribution optimization. Maximize load efficiency while respecting weight limits and stacking constraints.
Shift optimization with skill matching, labor regulations, and preference constraints. Minimize overtime while maintaining coverage requirements.
| Problem | DSC-3 (RTX 5070 Ti) | OR-Tools | Manual Planning |
|---|---|---|---|
| 100-city TSP | 8ms | 1.2s | 4+ hours |
| 500-city VRP (time windows) | 83ms | 45s | infeasible |
| 1,000-city VRP (multi-depot) | 320ms | timeout | infeasible |
Send routing, scheduling, or network design problems via REST API. Define stops, vehicles, constraints, and objectives in standard formats.
DSC-3 maps your problem to QUBO matrices. Seven parallel solvers compete on GPU hardware to find the best solution.
Receive optimized routes, schedules, or network designs with cost breakdowns, constraint satisfaction scores, and verification proofs.