Overview
This solution automates the assignment and scheduling of work orders based on technicians' skills, availability and location. Technicians access a personalized dashboard to view and accept daily tickets, ensuring all necessary information for successful task execution is readily available. Integration with existing ERP systems enables single-entry updates, significantly boosting operational efficiency.
Includes:
1. Maintenance execution
- Work Order Management
- Spare parts and asset level inventory management
- Schedule Maintenance for technicians on plant floor based on availability and skills
2. Real time tracking
- Real time update on asset failures to track uptime and availability of production assets to manage capacity
3. Reporting and Analytic
- Monitor and track Mean Time to Repair (MTTR) and Mean Time between Failure (MTBF)
- Monitor Work order status and progress
- Technician utilization and work order cost details
4. Predictive Maintenance
- Anomaly detection to identify unusual patterns in machine behaviour
- Identify and classify data based on patterns
- Prediction of failure based on historical failure and correlation to machine and process data
Available on AWS Marketplace, this solution leverages AWS cloud services for data analytics, IoT connectivity, and secure scalability. Allowing manufacturers to seamlessly integrate ActivaSuite™ on their AWS environment for faster deployment and centralized management. For more on how we integrate with AWS visit: https://i4-tech.io/activasuite-aws-marketplace
Highlights
- Optimizes costs by reducing unplanned downtime, extending equipment lifespan, and preventing costly breakdowns.
- By scheduling proactive maintenance, managing spare parts efficiently, and streamlining workforce tasks, manufacturers can minimize repair expenses while maximizing productivity. This ensures resources are used wisely, operations stay reliable, and overall ROI improves.
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We provide a highly customized, fit-for-purpose solution by deploying only the necessities, ensuring alignment with manufacturers' specific processes, plants, and production models.
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