Maintenance Management
In the fast-paced world of manufacturing, equipment downtime can lead to significant production losses. The Railes MES Maintenance Management Module ensures your machinery is always in optimal condition, minimizing downtime and maximizing productivity. This module provide real-time visibility and control over maintenance activities.
Tool Traceability
- Tools for planning and executing preventive and predictive maintenance, aiming to reduce downtime and extend the lifespan of equipment.
- Track the usage and performance of tools throughout the manufacturing process.
- Store tool-related details securely in a central repository, eliminating paper records.
Maintenance Planning
- Execute a wide range of maintenance procedures, from simple checks to complex repairs.
- Monitor and update the maintenance calendar, planning for spare parts and workforce requirements.
- Implementation of condition-based maintenance for equipment, using sensor data and analytics to determine the optimal time for maintenance.
Enhanced Equipment Management
- Implementation of condition-based maintenance for equipment, utilizing sensor data and analytics to determine the optimal time for maintenance.
- Track and record expiration dates for tools and instruments to maintain quality.
Real-time Monitoring and Alerts
- Receive notifications and alerts for maintenance activities, ensuring timely responses.
- Use scanners to track assets and parts across the factory floor.
Comprehensive Reporting
- Generate 360-degree reports covering asset history, maintenance workload, and equipment usage.
- Provide visibility into maintenance activities, helping stakeholders make informed decisions.
How will your industry change with Railes MES?
By choosing the Railes MES, your organization will benefit from a robust and integrated approach to quality management, driving continuous improvement and excellence in all manufacturing operations.
SCHEDULE A DEMO
Discover all our modules
Modular and integrated platform to accelerate innovation and efficiency toward Smart Factories.