One CNC down, six orders slip differently. RippleFlo simulates your real routings, alternates, and queue effects — so you know who gets hit before the customer calls.
ERP assumes machines are available when the schedule says so. It doesn't model that CNC1 downtime hits Lot 2/6 with 4 hours of slip while Lot 3/6 takes an alternate route and only slips 40 minutes.
Orders flow through CNC, QC, drilling, grinding, and pack — with per-commitment slip attribution and alternate-route resilience built in.
| Dimension | ERP / MES | RippleFlo |
|---|---|---|
| Order promise | Average lead time | DES feasibility per order |
| Shared CNC | Assumes available | Queue & contention modeled |
| Alternate routes | Manual override | Simulated qualified alternates |
| Downtime impact | Equal offset for all | Per-order slip attribution |
| Late discovery | Customer calls | Amber/red alerts days earlier |
| Chaos testing | Real floor experiment | Inject in software first |
| Audit trail | Schedule history sparse | Simulation archive + replay |
| What-if cost | Change live schedule | Re-run model — zero risk |
CNC1 queues. Grinding backs up. Three lots, three different slip stories — visible before publish.
Job shops need per-order ripple tracing — not average lead times.
Lot 2/6 slips 4 hours; Lot 3/6 slips 40 minutes — same downtime, different paths.
DES finds the next available qualified CNC when primary is down.
Inject CNC1 downtime and measure which orders go late — in software.
Utilisation and queue depth per station reveal the real constraint.
Shop-floor timings recalibrate the model and trigger auto-replan.
See who gets hit before you publish the schedule.
Naive schedulers say later equals worse. RippleFlo measures slip per order against its own plan — so downstream alternates absorb shock for some lots but not others.