Operational efficiency need to be optimized along the entire supply chain just as much at local scale on each link as at global scale. Optimization intelligence can combine both and empower logistics experts with tailored decision support tools.
Supply Chain
Challenges
- Complexity due to rising volume (e-commerce), additional constraints (environment) and new flows (reverse logistics, delivery points fragmentation).
- Uncertainty due to network interconnections, companies interdependence, intermodal synchronisation and supply & demand volatility.
- Pressure on profit margins due to major operating expenses and stiff competition.
Benefits
- Systemic and high-level data-driven decision support
- Robust solutions to face random events
- Agile solutions that can be re-optimized dynamically
- Increased operations efficiency
- Reduced operating costs
- Improved quality of service
- Automation to mitigate risk and errors
Use cases
Maintenance Routing
Integrated planning and routing of maintenance teams with stochastic optimization.
Home Care Planning
Planning home care visits handling « human constraints » like relationship stability between the practitioner and the patient.
Travelling Salesman Problem
Salesmen routing with prize-collecting and dynamic planning.
In practice
Vehicle Routing
Inventory Routing
Pickup-and-Delivery Planning
Multimodal Routing
Freight Consolidation
Supply Chain Network Design
Depot Location Design
Inventory Positioning
Production Planning
Supply Planning
3D Packing
Workforce Scheduling
Machine Scheduling
Maintenance Planning