Main uses of Smart RDM in Manufacturing
- Breakdown detection
- Visualization of machine status
- Machine running diagnostics
- Detection of production overruns
- Based on machine ranking according to current machine status and importance
- Improvement of business indicators, especially OEE
- Repair and maintenance based on the actual condition of the equipment
What are the benefits
of Smart RDM
OEE in real-time
Reduction of failures and downtime
Accurate production planning and plan execution monitoring
Key production status information in real-time
Reduction of utility consumption
Reduce repair costs
Smart RDM - standard version
Production Optimization in Five Steps
01. Data Integration
The first step is to integrate all key real-time production data.
Createa single source of truth for business systems securely separated from critical infrastructure.
02. Building context
The second step is to map the technical infrastructure and production processes in a digital model. Appropriate codification, delivered during implementation, will enable monitoring and analysis of the production line status. Each monitored element of the machine will have its unique code in the system combined with corresponding data from measuring devices.
Ability to reliably compare infrastructure elements, analyze them and quickly add new elements to the model, such as a new factory, production line, sensor or indicator.
03. Visualization and monitoring
The third step is the digital mapping of processes on interactive synoptic masks. A digital schematic is prepared for each machine type so that operators have a real-time overview of the situation.
Overview of current and historical technical parameters of machines. Quick reaction to events.
04. Alarms and notifications
The system allows the configuration of alarm thresholds and notifications on irregularities, schedule exceedances or performance issues. Events are integrated with notifications sent to defined users. The system operator can redirect events to the appropriate service along with the necessary information about the event and its location.
Automation and reduction of failure handling time.
05. Analysis and reporting
The system enables efficient reporting. Reports can show the execution of plans, summary of machine status and other business indicators needed to analyze production efficiency.
Presentation of results to managers and identification of areas for optimisation.
Smart RDM - extended version
Factory of the Future – Advanced Industry Algorithms
Once the basic needs of production status monitoring and data analytics are met, you can address the new challenges manufacturers will face with the Smart RDM tool. The business environment will push for faster product delivery, better product quality and environmental measures. In the Big Data module, we use specialized computational algorithms to clean and populate data, calculate unmeasured parameters, detect anomalies, predict failures and reduce media consumption.