AI & Automation
Manufacturing predictive maintenance
Implemented IoT sensors and predictive maintenance systems that reduced downtime by 62% and extended equipment life.
Project Overview
Industry
Manufacturing
Duration
18 weeks
Team Size
4 specialists
The Challenge
A medium-sized manufacturing company was experiencing frequent equipment failures, resulting in costly production downtime.
Our Solution
We deployed IoT sensors and an AI-powered predictive maintenance system with optimised maintenance scheduling.
Downtime
Before
15 hours/week
After
5.7 hours/week
+62.0%
Maintenance costs
Before
100%
After
65%
+35.0%
Production capacity
Before
100%
After
115%
+15.0%
Results Achieved
- Equipment downtime reduced by 62%
- Maintenance costs decreased by 35%
- Production capacity increased by 15%
Technologies Used
IoT
Predictive analytics
Cloud platform
Project Timeline
IoT Deployment
6 weeks
Installed sensors and connected equipment to monitoring
AI Model Training
8 weeks
Trained predictive maintenance models
System Integration
4 weeks
Integrated with maintenance and production systems
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