Most machine shops underestimate downtime cost because they only count “lost revenue.” A better approach includes lost production value, blocked labor, expedite costs, scrap/rework risk, and customer penalties. For many LA machine shops, true impact often falls between $3,000 and $15,000 per hour. Without tested recovery, ERP/CAD incidents commonly take 4–24 hours to resolve.
Why CAD Encryption Stops Manufacturing Fast Than Lost Revenue
Downtime hits in layers:
- Idle machines and labor
- Late shipments and penalties
- Expedited freight and overtime
- Scrap/rework from rushed restarts
- Customer trust loss (especially aerospace)
The Downtime Cost Calculator (Use This Framework)
Step 1) Lost Production Value per Hour
- Billable machine time lost: $____ / hour
- Average utilization during outage: __%
Step 2) Labor Cost per Hour
- people blocked: __
- Fully loaded hourly cost: $____
Step 3) Expedite + Overtime
- Shipping expedite: $____
- Overtime hours: __ × rate
Step 4) Scrap/Rework Risk
- Typical scrap rate increase during restart: __%
- Average job value: $____
Step 5) Customer / Compliance Impact
- Missed delivery penalties
- Contract risk
- Audit risk
Downtime Cost per Hour =
Lost production + labor + expedite + scrap risk + customer impact (estimated)
What Causes the Most Downtime in 20–100 Employee Shops
Top causes we see repeatedly:
- Aging switches/firewalls causing intermittent outages
- ERP server/storage failures
- Ransomware or credential compromise
- “Backups that run” but don’t restore
- Flat networks that amplify small incidents
Downtime Benchmarks (Reality Check)
Without proactive monitoring and tested recovery:
- ERP outage: 8–24 hours common
- CAD access outage: 4–12 hours common
- Full ransomware incident: 2–10 days common (varies widely)
With segmentation + restore testing:
- ERP restore target: 4–12 hours
- CAD critical folder restore: 2–8 hours
Illustrative Scenario: Downtime Math Changes the Upgrade Priority List
A 50-employee CNC shop treated outages as “annoying but normal” until leadership calculated true downtime cost (labor + expedite + scrap risk). Small disruptions were quietly costing far more than expected.
After a structured program:
- Downtime cost/hour was calculated using production + labor realities
- The top 3 downtime drivers were identified (ERP/storage, network, recovery gaps)
- Segmentation and monitoring were prioritized to reduce incident frequency
- Restore testing was implemented so recovery time became predictable
Result: leadership gained clarity on what to fix first—and outages started dropping.
Trust Signals
- Monitoring and escalation process
- Restore testing cadence
- Segmentation and lifecycle planning
- Roadmap aligned to production schedules
Calculate Your True Downtime Cost and What to Fix First
Once you know your real cost per hour, prioritization becomes simple: you fix the items that buy back the most uptime the fastest.
Book a 30-minute call with Fothion today and we’ll:
- calculate downtime cost using your production + labor realities
- identify the top 3 downtime drivers (ERP, network, backups, security)
- recommend the quickest changes that reduce outages and speed recovery