Os' Lab
SYSTEMS / SUPPLY

Supply Systems

Flow orchestration across physical networks under constraints.

SYSTEM OVERVIEW

Flow is a coupled physical system.

Supply systems are networks of flows constrained by capacity, timing, and disruption. Local optimization can destabilize the whole. Simulation is required to model end-to-end dynamics, explore disruptions, and reconfigure routes and allocations under changing constraints.

CORE CAPABILITIES

From flow state to resilient orchestration.

Flow Modeling
Model movement as system dynamics across a network.
  • —Represent goods, materials, and resources as flowing state
  • —Track timing, queueing, and propagation effects
  • —Maintain network-level visibility rather than local snapshots
Constraint Mapping
Expose bottlenecks and capacity limits as explicit constraints.
  • —Identify binding constraints across nodes and links
  • —Map capacity limits, lead times, and operational rules
  • —Detect constraint shifts as the system evolves
Disruption Simulation
Simulate delays, failures, and demand shocks.
  • —Run counterfactual disruptions and stress the network
  • —Quantify cascade effects across time and geography
  • —Compare multi-path recovery trajectories
Adaptive Routing
Reconfigure the network under changing conditions.
  • —Dynamically re-route flows under constraint violations
  • —Balance stability, cost, and service objectives
  • —Maintain provenance for why routes change
System-wide Optimization
Optimize across the entire network, not locally.
  • —Coordinate allocations across nodes as one system
  • —Optimize resilience under uncertainty
  • —Turn plans into executable mechanisms
SYSTEM LAYERING

A layered flow system.

Data layer
Capture events, inventory, and movement as a time-indexed record.
Structure layer
Encode topology, capacities, and constraints as system structure.
Simulation layer
Run flow dynamics under disruption and recovery scenarios.
Decision layer
Orchestrate routing and allocation as system actions.
OUTCOME

Flow becomes controllable.

Networks can be operated as systems: constraints made explicit, disruptions rehearsed, and reconfiguration executed without fragmenting into isolated optimizations.