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Supply Chain

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.

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