Logistics & Operations
Combinatorial optimization problems in logistics — routing, scheduling, and resource allocation — are a natural fit for quantum annealing. Dynex solves these problems at scale with competitive solution quality.Multi-Vehicle Routing
Quantum-optimized routing and scheduling for a fleet of vehicles. Minimizes total travel time and fuel consumption while satisfying delivery constraints across large networks.Quantum Multi-Vehicle Routing
Fleet routing optimization using quantum annealing. Handles capacity, time window, and precedence constraints for real-world logistics operations.
Workforce Scheduling
Optimal shift assignment and task allocation for workforce management. Balances employee availability, skill requirements, and operational constraints to maximize efficiency.Quantum Workforce Scheduling
Quantum-optimized workforce scheduling for dynamic staffing environments. Reduces scheduling conflicts and operational costs.
Flow Shop Scheduling
Job shop and flow shop scheduling optimization — minimizing makespan across multiple machines and processing stages. Quantum annealing explores the scheduling space efficiently to find near-optimal job orderings.Quantum Flow Shop Scheduling
Quantum optimization for JSS and FSS problems. Minimizes completion time across multi-machine production environments.
Aircraft Loading
Optimal cargo distribution and weight balancing for aircraft. Ensures structural safety while maximizing payload capacity.Aircraft Loading Optimization
Airbus QCC Problem n°5: quantum optimization of load distribution under weight and balance constraints.
Job Sequencing
Optimal sequencing of jobs to minimize total weighted completion time. Applicable to manufacturing, printing, and processing pipelines.Quantum Job Sequencing
QUBO formulation for job sequencing with deadlines and weights. Finds optimal job orderings for single-machine and parallel-machine settings.