Med-Con Achieves 60-Fold Increase in Surgical Mask Production During COVID-19 Emergency
A documented Production Planning & Scheduling in Medical Devices deployment at Med-Con / Foodmach, with source-attributed results and missing evidence labelled explicitly.
Evidence at a glance
- Evidence status:
- Automated evidence gate passed
- Deployment timeframe:
- Not reported by source
- Reported outcome metrics:
- 3 cited below
- Directory entry published:
The source-link check confirms reachability, not independent re-verification of every claim.
Source-reported figures — cited source: rockwellautomation.com
The Challenge
Australia's only surgical mask manufacturer, Med-Con, was tasked by the Australian Government to dramatically increase production to meet COVID-19 PPE demand. With only two aging 40-year-old machines operational and original blueprints lost, they needed seven new mask-making machines built on an accelerated timeline.
The Solution
Foodmach re-engineered the machines using 3D models created by Australian Defence Force engineers. Allen-Bradley Compact GuardLogix PLC, Kinetix 5500 Servo Drives, PowerFlex 525 drives, and PanelView graphic terminals provided integrated control and safety for the new mask-making machines.
Results
The new machines gave Med-Con the capability to produce more than 3 million masks per week, representing approximately a 60-fold increase in manufacturing capability, with an ongoing annual capacity of 160 million masks targeting 60 million by November 2020.
Key Takeaways
- Modern automation platforms enable rapid machine replication even when original blueprints are unavailable
- Integrated safety and servo control simplify commissioning timelines under extreme pressure
- Government-industry collaboration can compress years of manufacturing ramp-up into weeks when urgency demands it
Explore Related
Vendor
Details
- Industry
- Medical Devices
- Use Case
- Production Planning & Scheduling
- AI Technology
- Robotics & AI
- Company Size
- SME
- Company
- Med-Con / Foodmach
- Evidence status
- Automated evidence gate passed
- Deployment timeframe
- Not reported by source
- Directory entry published
Cited source
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