ERP tracks work orders and costs. RippleFlo simulates complex routings, shared CNC bottlenecks, NDT queues, and contractual milestones — before a program office calls.
ERP schedules operations on standard times. It doesn't model when CNC Mill contention pushes Lot 14 past a contractual milestone while Lot 9 slips through an alternate qualified route.
A discrete-event twin of your shop: forgings, CNC, surface treat, NDT, assembly, and CMM — with per-lot slip traced to the station that caused it.
| Dimension | ERP / MES | RippleFlo |
|---|---|---|
| Delivery promise | Average routing lead time | DES feasibility with queue contention |
| Alternate routing | Manual planner override | Qualified alternate paths in simulation |
| Shared CNC | Assumes capacity available | Models contention across programs |
| NDT / inspection queue | Fixed offset | Dynamic queue with ripple propagation |
| Program milestones | Weekly status review | Amber/red alerts days earlier |
| Machine failure | Logged post-event | MTBF/MTTR injected — measure lot slip |
| Audit trail | Reconstruct from work orders | Deterministic replay + commitment diff |
| What-if cost | Change live schedule | Re-run model — zero production risk |
CNC Mill queues build. NDT slips. Assembly milestones turn amber — visible before the program review.
Contractual delivery in complex routings needs simulation — not spreadsheet confidence.
See which lots put contractual delivery dates at risk before the program office does.
Utilisation, queue depth, and starvation ratios reveal the real constraint — not ERP averages.
When CNC Mill 1 is down, DES finds the next qualified machine respecting certification.
Trace how inspection backlog propagates to assembly and ship dates per lot.
Pegging tree from customer PO → lot → operation → root cause for review.
Re-run any historical program scenario with identical inputs.
ERP pushes everything by the same offset. RippleFlo measures slip per lot — Lot A-14 slips 3 days while A-09 slips 4 hours because it routed through CNC Mill 2 before the queue peaked.