Module 0: Automatic safety
- Cybernetic safety. Implementation of protection mechanisms against digital threats.
- Functional safety. Ongoing diagnostics for preserving the main functional task.
- Hazard safety. Formulation of safety protocols and automatic actions for minimizing risks in working environments.
Module 1: Support and maintenance
- Technological infrastructure. Provision and setup of Industry 4.0 equipment and machinery.
- Predictive maintenance. Monitoring of equipment health, prediction of statuses, planning of maintenance activities, and reduction of downtime.
- OEE optimization. Analysis of availability, performance, and quality indicators on operations.
Module 2: Data acquisition and transmission
- I4.0 Sensors. Usage of sensors capable of handling robustness, compatibility, resolution, accuracy, and speed.
- Data storage. Formulation and construction of centralized/distributed and local/remote storage options.
- IoT telecommunication. Up to date wired/wireless telecommunication protocols for short or long ranges.
Module 3: Data processing
- Domain and dimension. Manipulation of time-series data, Fourier analysis, and handling of multi-variable scenarios.
- Noise filters. Removal of unwanted noise for data clarity and accurate estimations.
- Variable extraction. Adoption of machine learning methods for extracting key performance indicators from measurements.
- Diagnostic generation. Anomaly detection and classification of operation modes for assessing health indexes of equipment.
Module 4: Remote monitoring
- Access and Security. Provision of secure, real-time monitoring and access to historical data logging.
- Graphical interfaces. Development of visual displays and intuitive presentations for effective data observation, search, and export capabilities.
Module 5: Formulation and prediction
- Models and Simulation. Formulation of static/dynamic models, based on data, rules or linear/nonlinear models. Training, experimental design and prediction.
- Digital Twins. Creation of digital replicas of real-life processes for optimization in sandbox environments.
Module 6: Control and numerical optimization
- Control systems. Automatic control of variables in centralized or multi-agent settings.
- Optimization. Numerical techniques for maximization of efficiency, minimization of cost. Knapsack, Set Covering, Assignment, Facility Location, TSP, Scheduling, Perfect Matching, Flow network, 1-D cutting stock.
- Automatic Planning. Result of numerical optimization algorithms for planning of resources, stock, maintenance, and production.