A response to the challenges of industrial maintenance

"We designed SmartPredict to offer manufacturers a proactive approach to maintenance, leveraging real-time data and relying on advanced algorithms capable of detecting early signs of failure."

Jean Dupont
Technical Manager at Siveco
Advanced technology for performance
| Critère | Avant SmartProject | Après SmartProject |
|---|---|---|
| Temps moyen entre deux pannes | 45 jours | 80 jours |
| Coûts de maintenance | 100% | -25% |
| Taux de disponibilité des équipements | 85% | 96% |
| Temps d'intervention moyen | 4 heures | 2 heures |
| Critère | Avant SmartProject | Après SmartProject |
|---|---|---|
| Temps moyen entre deux pannes | 45 jours | 80 jours |
| Coûts de maintenance | 100% | -25% |
| Taux de disponibilité des équipements | 85% | 96% |
| Temps d'intervention moyen | 4 heures | 2 heures |
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- Detecting recurring fault patterns
- Detecting recurring fault patterns
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- Detecting recurring fault patterns
- Detecting recurring fault patterns
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- Detecting recurring fault patterns
Real-time integration of data from industrial equipment for precise performance monitoring.
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Automated intervention :
- Automated alerts based on machine status
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Automated intervention :
- Automated alerts based on machine status
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Automated intervention :
- Automated alerts based on machine status
-
Automated intervention:
- Automated alerts based on machine status
Real-time integration of data from industrial equipment for precise performance monitoring.
Fleet monitoring, checks on limited-life devices and standards, management of certificates of conformity.
| Critère | Avant SmartProject | Après SmartProject |
|---|---|---|
| Temps moyen entre deux pannes | 45 jours | 80 jours |
| Coûts de maintenance | 100% | -25% |
| Taux de disponibilité des équipements | 85% | 96% |
| Temps d'intervention moyen | 4 heures | 2 heures |
Fleet monitoring, checks on limited-life devices and standards, management of certificates of conformity.
| Critère | Avant SmartProject | Après SmartProject |
|---|---|---|
| Temps moyen entre deux pannes | 45 jours | 80 jours |
| Coûts de maintenance | 100% | -25% |
| Taux de disponibilité des équipements | 85% | 96% |
| Temps d'intervention moyen | 4 heures | 2 heures |
- Fleet monitoring, checks on limited-life devices and standards, management of certificates of conformity.
- Analysis of maintenance history
- Fleet monitoring, checks on limited-life devices and standards, management of certificates of conformity.
- Analysis of maintenance history
- Fleet monitoring, checks on limited-life devices and standards, management of certificates of conformity.
- Fleet monitoring, checks on limited-life devices and standards, management of certificates of conformity.
- Analysis of maintenance history
Fleet monitoring, checks on limited-life devices and standards, management of certificates of conformity.
| Critère | Avant SmartProject | Après SmartProject |
|---|---|---|
| Temps moyen entre deux pannes | 45 jours | 80 jours |
| Coûts de maintenance | 100% | -25% |
| Taux de disponibilité des équipements | 85% | 96% |
| Temps d'intervention moyen | 4 heures | 2 heures |
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Fleet monitoring, equipment checks
- Analysis of maintenance history
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Fleet monitoring, checks on long-life equipment
- Analysis of maintenance history
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Park surveillance,
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Fleet monitoring, equipment checks
- Analysis of maintenance history
From production shutdown schedule to return to service.
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Successful deployment at several manufacturers
Already adopted by several companies in the energy, aeronautics and manufacturing sectors, Siveco SmartPredict has proven its effectiveness. EDF, a long-standing partner of Siveco, has noted a 30% reduction in unscheduled shutdowns and optimized maintenance costs thanks to the implementation of this solution.
Towards ever more intelligent maintenance
Siveco has no intention of stopping there. The company is already working on further developments of SmartPredict, notably by integrating prescriptive maintenance technologies and improving interoperability with other industrial systems.
With this innovation, Siveco confirms its role as a pioneer in the digital transformation of industrial maintenance, and reaffirms its commitment to helping companies operate their equipment more efficiently and sustainably.
Advanced technology for performance:
- Predictive analysis :
- Analysis of maintenance history
- Detecting recurring fault patterns
- Connected IoT sensors :
- Real-time data integration
- Precise monitoring of equipment performance
- Automated intervention :
- Proposal of optimized maintenance plans
- Automated alerts based on machine status



