Electronics in Advanced Research Industries. Alessandro Massaro

Electronics in Advanced Research Industries - Alessandro Massaro


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supports industries to switch production according to needs and the possible adaptions of the available production machines in new requested products. Furthermore, if correctly implemented, AI provides improvements in the production time response and in the machine efficiency of the whole production line, where all the machines of a layout not only work to create a finished product, but also are set for the best efficiency. It is observed that, in an advanced local communication system, the single machine can communicate the identified setting solution to all the other machines involved in the production. By applying AI, it is possible to achieve the optimum of the economic and operating criteria, by setting the production level of all the individual units that work together. The production setting is managed by means of a supervision and coordination system, where the AI system is suitable to adapt the processing to each reconfiguration of the production programs and of the product mixing to meet customer requirements in the best way.

Schematic illustration of artificial intelligence integrated into the supply chain.

       Layer 1 (direct control of the single units of the plant). Information about the unit production and about raw materials are executed and transmitted to the highest levels. The first layer is the operational layer enabling production and actuation. The production parameters are optimized by layer 3 related to the AI level.

       Layer 2. This layer represents the response to any emergency condition arising in its area of competence of the plant, the optimization and the coordination node keeping communications active with the upper and lower levels of the system. The layer is commanded by layer 3 and provides outputs to layer 1.

       Layer 3 (AI level). This level is suitable for verification and optimization of key production processes in real time. The management of this level is assigned to AI algorithms. Improvement solutions can be implemented in all phases of the production process by automatizing the whole supply chain. This layer is the core of the Industry 5.0 system and includes process mining (process decision making by data mining) [53], process optimization, process prediction and process control. IoT data contribute in this level to enrich the dataset processed by the AI algorithms for better control of processes upgrading the production. Graphical dashboards facilitate the decision‐making supported especially by supervised algorithms. The AI allows not only to improve the production process, but also to predict possible failures in a self‐adaptive manner.

       Layer 4 (definition of the activities to coordinate the production resources and to achieve the desired final products). This layer is specific for the production area involving RE facilities, production engineering, quality improvement, data processing, and production switching enabled by the AI level. This layer represents principally the production flexibility, the production quality, and the reliability.

Schematic illustration of multilevel structure of manufacturing industry processes integrating artificial intelligence tools. Schematic illustration of artificial intelligence feedback system in manufacturing processes.

      The proposed methodology is adaptable to different industry sectors and represents a valuable tool for the ISO 9001:2015 check control system.

Schematic illustration of block diagram of adaptive solutions in advanced manufacturing.


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