Introduction
In the field of industrial manufacturing, an unexpected machine failure will stop production, create delays and could mean lost revenue. All of this impacts the employees that maintain the machines. This was the exact pain point for a mid-sized industrial equipment manufacturer who was relying on reactive maintenance, using a manual tracking process, and did not have visibility into machine health. They needed a better way of doing business that could detect a failure before it happened.
That's where Silent Infotech came in with a predictive maintenance solution that combined IoT sensors and an Odoo ERP system. The results were impressive — downtime was reduced by 98%, maintenance was more efficient, and maintenance teams could now reference machine performance in real-time, all through an ERP dashboard.
In this case study you will learn about how IoT and Odoo Maintenance moved the client from a reactive maintenance process to a proactive process that leveraged data, reduced costs, and allowed for much smarter asset management.
Outcome Achieved After Our Implementation
20%
Equipment life extended35%
Team efficiency increased50 %
Spare parts stockouts cut98%
Downtime decreasedClient Overview
A mid-sized industrial equipment manufacturer had to deal with high maintenance costs, a lot of unscheduled downtime, and a lack of real-time machine health visibility. Due to their reactive maintenance strategy and lack of a centralized system, their operations experienced delays, inefficiencies, and higher repair costs. To proactively manage equipment and minimize disruptions, they required a more intelligent, data-driven solution.
Key Challenges Faced By The Manufacturer
Unplanned Equipment Downtime
Diesel Equipment frequently broke down, causing production delays and delivery interruptions, particularly with critical machines, like hydraulic presses.
No Real-Time
Monitoring
Because of the lack of tracking of equipment health or performance data, many indicators of wear and upcoming failure were missed.
High Maintenance
Costs
Emergency repairs, last minute sourcing of parts, and the lack of supervision increased costs of operations, across all the provided facilities.
Reactive
Maintenance
Repairs or service occurred only after the breakdown, which resulted in greater damage and recovery times.
No Centralized Maintenance System
Maintenance data was scattered, making it hard to analyze recurring issues or improve asset longevity.
Get FREE Consultation
Solution provided by Silent Infotech
1. IoT Sensor Deployment
We put smart IoT sensors in place to gather live temperature, vibration, and hours of use data on key equipment.
2. Predictive Maintenance Development
We developed predictive algorithms on Odoo ERP to trigger alerts and auto-create maintenance tasks prior to failures.
3. Real-Time ERP Dashboard
A single Odoo dashboard provided operations teams with complete visibility of equipment health and service schedules.
4. Automated Spare Parts Planning
We integrated the Odoo Inventory into the maintenance system to auto-check spare parts and hold the parts based on service activity requirements.
5. Data-Driven Maintenance Plan
We enabled the client to shift from a reactive maintenance practice to a proactive maintenance practice using live machine data and historical trends.
Conclusion
With IoT incorporated into Odoo ERP, the client now had full visibility into equipment health, reduced their downtime 98%, and optimized their maintenance approach. Instead of delays that could cost them revenue, they now maintain a simple, data driven process.
Want to Future-proof Your Business?
Connect with Silent Infotech to learn how predictive maintenance can make your business better.