How a large-scale manufacturing enterprise eliminated asset blind spots across five production plants — automating maintenance cycles, reducing breakdowns, and achieving full regulatory traceability from shop floor to boardroom.
A ground-up physical audit of 6,200+ assets — machinery, tools, vehicles, electrical equipment, and safety assets — across all five manufacturing facilities. Each asset photographed, condition-rated, and entered into a unified digital register with full procurement and service history captured where available.
Every asset tagged with industrial-grade QR + RFID labels designed for shop floor environments (oil, heat, vibration resistant). IoT vibration and temperature sensors installed on 340 critical machines for real-time health monitoring. All data fed into a single cloud-based asset management platform with role-based access for plant managers, technicians, and corporate teams.
Machine learning models trained on sensor data to predict failures 7–14 days in advance. Automated work orders raised to maintenance teams with priority scoring. Integration with spare parts inventory to ensure materials are available before scheduled intervention.
ISO-ready audit trails generated in one click. Full asset lifecycle from purchase to decommission in a tamper-proof log. Cross-plant utilisation reports surfaced underused assets, enabling redeployment instead of new procurement. Corporate dashboard gives leadership real-time OEE and asset health visibility.
Predictive maintenance architecture, full ROI model, plant manager testimonials and implementation blueprint
are all in the complete case study PDF — free to download.
Thank you! Your case study is downloading automatically.
If it doesn't start, use the button below.
DigitoWork empowers SMBs and large enterprises to strategically & effectively implement robust Security Preventive Controls, safeguarding their digital assets with confidence.
221 W 9th Street Wilmington, Delaware.
USA 19801
Thank you for registering for the webinar. The link to the webinar is sent to the email id provided.