Optimisation for Defence & Manufacturing
Fleet readiness, maintenance scheduling, spares positioning, contested logistics.
Archborn helps teams quantify what is achievable with advanced optimisation, then embed it into SAP and enterprise systems so it can be used in real operational decision cycles.
Priority optimisation use cases
Maintenance and availability optimisation
We model maintenance, engineering resources, parts availability and operational commitments as one constrained problem, so readiness trade-offs become explicit and testable.
Expected improvement type: increased availability, reduced downtime and better engineering utilisation.
Spares network optimisation
We model depots, repair loops, transport lead times and demand uncertainty together, then test alternative stocking strategies and network configurations under disruption.
Expected improvement type: improved service, better inventory positioning and stronger resilience to supplier or transport failure.
Contested logistics
We model routes, nodes, lift, fuel and disruption scenarios as they exist in reality, then enable rapid, risk-aware re-planning under changing operational conditions.
Expected improvement type: reduced route exposure, faster re-optimisation and clearer trade-offs between risk and tempo.
How we deliver
Governance
- UK-prime led structure with clear accountability
- Defined IP ownership and stage-gated delivery
- Auditability of assumptions, models and results
Security posture
- UK-hosted, segregated project environments where required
- Controlled partner access and clear data boundaries
- Crypto-agile architecture and sovereignty-aware choices