Optimisation for Logistics & CPG
Planning, scheduling, inventory, logistics, resilience.
Archborn builds rigorous optimisation models that reflect real operational constraints, then integrates outcomes into SAP and enterprise workflows so decisions are faster, more consistent and easier to defend.
Priority optimisation use cases
Production planning and scheduling
Build constraint-aware schedules across lines, shifts and materials, and quantify trade-offs between service, cost and stability.
Expected improvement type: higher throughput, fewer changeovers and better plan adherence.
Inventory positioning and service levels
Model inventory as a multi-echelon network problem across nodes, lead times, demand uncertainty and substitution constraints.
Expected improvement type: improved service, reduced working capital and greater resilience to variability.
Transport, routing and network design
Optimise routes, allocations and network choices under real constraints such as time windows, capacity, carrier rules and disruption scenarios.
Expected improvement type: reduced transport cost, improved on-time performance and better capacity utilisation.